{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4cd5b27c",
   "metadata": {},
   "source": [
    "### 一、导入库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e391f7c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import warnings\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "warnings.filterwarnings('ignore')\n",
    "plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus']=False #用来正常显示负号\n",
    "import missingno"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c5f9b39a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>农产品市场所在省份</th>\n",
       "      <th>市场名称映射值</th>\n",
       "      <th>农产品类别</th>\n",
       "      <th>农产品名称映射值</th>\n",
       "      <th>规格</th>\n",
       "      <th>区域</th>\n",
       "      <th>颜色</th>\n",
       "      <th>单位</th>\n",
       "      <th>最低交易价格</th>\n",
       "      <th>平均交易价格</th>\n",
       "      <th>最高交易价格</th>\n",
       "      <th>数据入库时间</th>\n",
       "      <th>数据发布时间</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>云南</td>\n",
       "      <td>F84FFE619392149018384D16BE6FF525</td>\n",
       "      <td>玫瑰花</td>\n",
       "      <td>9FABF2093EC485754BCCA2E513205297</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>红色</td>\n",
       "      <td>20支/扎</td>\n",
       "      <td>19</td>\n",
       "      <td>22</td>\n",
       "      <td>24</td>\n",
       "      <td>2016-07-18 15:05:19</td>\n",
       "      <td>2015-11-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>云南</td>\n",
       "      <td>F84FFE619392149018384D16BE6FF525</td>\n",
       "      <td>玫瑰花</td>\n",
       "      <td>5E0CB63A28D060666E38F5417E1FC534</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>红色</td>\n",
       "      <td>20支/扎</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "      <td>24</td>\n",
       "      <td>2016-07-18 15:05:19</td>\n",
       "      <td>2015-11-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>云南</td>\n",
       "      <td>F84FFE619392149018384D16BE6FF525</td>\n",
       "      <td>玫瑰花</td>\n",
       "      <td>FC7FE9E4A9E19A0DCA856E211B456728</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>粉色</td>\n",
       "      <td>20支/扎</td>\n",
       "      <td>16</td>\n",
       "      <td>19</td>\n",
       "      <td>22</td>\n",
       "      <td>2016-07-18 15:05:19</td>\n",
       "      <td>2015-11-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>云南</td>\n",
       "      <td>F84FFE619392149018384D16BE6FF525</td>\n",
       "      <td>玫瑰花</td>\n",
       "      <td>C6D05CB73BA09902CCDC27C4B9D49A48</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>黑红色</td>\n",
       "      <td>20支/扎</td>\n",
       "      <td>16</td>\n",
       "      <td>18</td>\n",
       "      <td>20</td>\n",
       "      <td>2016-07-18 15:05:19</td>\n",
       "      <td>2015-11-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>云南</td>\n",
       "      <td>F84FFE619392149018384D16BE6FF525</td>\n",
       "      <td>玫瑰花</td>\n",
       "      <td>427BAA73BD3D384FF704D4E13BF01EB5</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>粉色</td>\n",
       "      <td>20支/扎</td>\n",
       "      <td>20</td>\n",
       "      <td>24</td>\n",
       "      <td>26</td>\n",
       "      <td>2016-07-18 15:05:19</td>\n",
       "      <td>2015-11-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2103043</th>\n",
       "      <td>湖南</td>\n",
       "      <td>53740BC1D5041A8ED06E3DBBA320A907</td>\n",
       "      <td>蔬菜</td>\n",
       "      <td>3E0E45ECDD52843D41C487FBB7BEF094</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016-07-18 15:34:18</td>\n",
       "      <td>2010-12-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2103044</th>\n",
       "      <td>湖南</td>\n",
       "      <td>53740BC1D5041A8ED06E3DBBA320A907</td>\n",
       "      <td>蔬菜</td>\n",
       "      <td>552CD2C91A20DA48CD8FE41F7F02AFE3</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2016-07-18 15:34:18</td>\n",
       "      <td>2010-12-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2103045</th>\n",
       "      <td>湖南</td>\n",
       "      <td>53740BC1D5041A8ED06E3DBBA320A907</td>\n",
       "      <td>蔬菜</td>\n",
       "      <td>1C5F3F6AE7E0232791D9170A8125DD4D</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2016-07-18 15:34:18</td>\n",
       "      <td>2010-12-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2103046</th>\n",
       "      <td>湖南</td>\n",
       "      <td>53740BC1D5041A8ED06E3DBBA320A907</td>\n",
       "      <td>蔬菜</td>\n",
       "      <td>B6BEB81F246F19A5F0CF483DDD008DD2</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>2016-07-18 15:34:18</td>\n",
       "      <td>2010-12-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2103047</th>\n",
       "      <td>湖南</td>\n",
       "      <td>53740BC1D5041A8ED06E3DBBA320A907</td>\n",
       "      <td>蔬菜</td>\n",
       "      <td>74C9227D95C45856683C457BBCD04D90</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>\\N</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2016-07-18 15:34:18</td>\n",
       "      <td>2010-12-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2103048 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        农产品市场所在省份                           市场名称映射值 农产品类别  \\\n",
       "0              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
       "1              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
       "2              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
       "3              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
       "4              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
       "...           ...                               ...   ...   \n",
       "2103043        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
       "2103044        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
       "2103045        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
       "2103046        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
       "2103047        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
       "\n",
       "                                 农产品名称映射值  规格  区域   颜色     单位 最低交易价格 平均交易价格  \\\n",
       "0        9FABF2093EC485754BCCA2E513205297  \\N  \\N   红色  20支/扎     19     22   \n",
       "1        5E0CB63A28D060666E38F5417E1FC534  \\N  \\N   红色  20支/扎     18     22   \n",
       "2        FC7FE9E4A9E19A0DCA856E211B456728  \\N  \\N   粉色  20支/扎     16     19   \n",
       "3        C6D05CB73BA09902CCDC27C4B9D49A48  \\N  \\N  黑红色  20支/扎     16     18   \n",
       "4        427BAA73BD3D384FF704D4E13BF01EB5  \\N  \\N   粉色  20支/扎     20     24   \n",
       "...                                   ...  ..  ..  ...    ...    ...    ...   \n",
       "2103043  3E0E45ECDD52843D41C487FBB7BEF094  \\N  \\N   \\N     \\N    1.0    1.0   \n",
       "2103044  552CD2C91A20DA48CD8FE41F7F02AFE3  \\N  \\N   \\N     \\N    3.0    3.0   \n",
       "2103045  1C5F3F6AE7E0232791D9170A8125DD4D  \\N  \\N   \\N     \\N    4.0    4.0   \n",
       "2103046  B6BEB81F246F19A5F0CF483DDD008DD2  \\N  \\N   \\N     \\N    3.6    3.6   \n",
       "2103047  74C9227D95C45856683C457BBCD04D90  \\N  \\N   \\N     \\N    2.2    2.2   \n",
       "\n",
       "        最高交易价格               数据入库时间      数据发布时间  \n",
       "0           24  2016-07-18 15:05:19  2015-11-27  \n",
       "1           24  2016-07-18 15:05:19  2015-11-27  \n",
       "2           22  2016-07-18 15:05:19  2015-11-27  \n",
       "3           20  2016-07-18 15:05:19  2015-11-27  \n",
       "4           26  2016-07-18 15:05:19  2015-11-27  \n",
       "...        ...                  ...         ...  \n",
       "2103043    1.0  2016-07-18 15:34:18  2010-12-01  \n",
       "2103044    3.0  2016-07-18 15:34:18  2010-12-01  \n",
       "2103045    4.0  2016-07-18 15:34:18  2010-12-01  \n",
       "2103046    3.6  2016-07-18 15:34:18  2010-12-01  \n",
       "2103047    2.2  2016-07-18 15:34:18  2010-12-01  \n",
       "\n",
       "[2103048 rows x 13 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv(r'F:\\大三上\\数据分析与数据挖掘\\06\\小课\\数据源\\farming2.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a8ed522",
   "metadata": {},
   "source": [
    "### 二、数据探索"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09a1587c",
   "metadata": {},
   "source": [
    "#### 类型转型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9662af3d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 转换交易价格列为数值类型\n",
    "df['最低交易价格'] = pd.to_numeric(df['最低交易价格'], errors='coerce')\n",
    "df['平均交易价格'] = pd.to_numeric(df['平均交易价格'], errors='coerce')\n",
    "df['最高交易价格'] = pd.to_numeric(df['最高交易价格'], errors='coerce')\n",
    "\n",
    "# 转换日期列\n",
    "df['数据入库时间'] = pd.to_datetime(df['数据入库时间'], errors='coerce')\n",
    "df['数据发布时间'] = pd.to_datetime(df['数据发布时间'], errors='coerce')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3fc8ba9",
   "metadata": {},
   "source": [
    "#### 查看数据分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e669366b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>最低交易价格</th>\n",
       "      <th>平均交易价格</th>\n",
       "      <th>最高交易价格</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.102799e+06</td>\n",
       "      <td>2.102801e+06</td>\n",
       "      <td>2.102799e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.395585e+00</td>\n",
       "      <td>7.594563e+00</td>\n",
       "      <td>6.497695e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.349608e+01</td>\n",
       "      <td>1.627666e+01</td>\n",
       "      <td>1.545880e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>6.000000e-01</td>\n",
       "      <td>2.100000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.400000e+00</td>\n",
       "      <td>3.800000e+00</td>\n",
       "      <td>3.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.200000e+00</td>\n",
       "      <td>7.200000e+00</td>\n",
       "      <td>6.500000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.400000e+02</td>\n",
       "      <td>7.200000e+02</td>\n",
       "      <td>8.000000e+02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             最低交易价格        平均交易价格        最高交易价格\n",
       "count  2.102799e+06  2.102801e+06  2.102799e+06\n",
       "mean   5.395585e+00  7.594563e+00  6.497695e+00\n",
       "std    1.349608e+01  1.627666e+01  1.545880e+01\n",
       "min    0.000000e+00  0.000000e+00  0.000000e+00\n",
       "25%    6.000000e-01  2.100000e+00  1.000000e+00\n",
       "50%    2.400000e+00  3.800000e+00  3.000000e+00\n",
       "75%    5.200000e+00  7.200000e+00  6.500000e+00\n",
       "max    5.400000e+02  7.200000e+02  8.000000e+02"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "71f7e1ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2103048 entries, 0 to 2103047\n",
      "Data columns (total 13 columns):\n",
      " #   Column     Dtype         \n",
      "---  ------     -----         \n",
      " 0   农产品市场所在省份  object        \n",
      " 1   市场名称映射值    object        \n",
      " 2   农产品类别      object        \n",
      " 3   农产品名称映射值   object        \n",
      " 4   规格         object        \n",
      " 5   区域         object        \n",
      " 6   颜色         object        \n",
      " 7   单位         object        \n",
      " 8   最低交易价格     float64       \n",
      " 9   平均交易价格     float64       \n",
      " 10  最高交易价格     float64       \n",
      " 11  数据入库时间     datetime64[ns]\n",
      " 12  数据发布时间     datetime64[ns]\n",
      "dtypes: datetime64[ns](2), float64(3), object(8)\n",
      "memory usage: 208.6+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4d079a3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1f880612670>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 750x750 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5577575f",
   "metadata": {},
   "source": [
    "#### 相关性分析"
   ]
  },
  {
   "cell_type": "raw",
   "id": "f7e9aa2d",
   "metadata": {},
   "source": [
    "sns.pairplot(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf70d28b",
   "metadata": {},
   "source": [
    "### 三、 数据预处理"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6abe7f56",
   "metadata": {},
   "source": [
    "#####  查看缺失值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9c7cfdc1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAACE4AAAQJCAYAAADSe9+fAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd5gX1f0/7PfsLr2JgA0BC9gCFuyFoII9ihoLYEPFhonG2KJiiYpdE1sUaxSMscfys6CxIxYsXzQ2mogFBKRJZ/c8f/iwcQPookOd+74uLjZz5nP2zOaVuSbMa2eylFIKAAAAAAAAAIACKlnaCwAAAAAAAAAAWFoUJwAAAAAAAACAwlKcAAAAAAAAAAAKS3ECAAAAAAAAACgsxQkAAAAAAAAAoLAUJwAAAAAAAACAwlKcAAAAAAAAAAAKS3ECAAAAAAAAACgsxQkAAAAAAAAAoLAUJwAAAAAAAACAwlKcAAAAAAAAAAAKS3ECloKU0tJeAisYmSJvMkXeZIq8yRR5kynyJlPkTaYAAH4Z11PkTaZWLIoTsAR89913MXny5Pj0008jIiLLsqW8IpZ3MkXeZIq8yRR5kynyJlPkTabIm0yxOFRUVMS0adOW9jIAFsp5ijy5niJvMrViU5yAxez999+Po48+OrbZZpvYZptt4vDDD4+PPvpoaS+L5ZhMkTeZIm8yRd5kirzJFHmTKfImU+Tto48+inPPPTd222236Ny5cxx77LHx2muvxezZs5f20lhODR8+PD744IOlvQxWIM5T5M31FHmTqRVf2dJeAKzIBg8eHHvuuWdMnz49ttpqq6hVq1b0798/vv3223jkkUeiRo0aS3uJLGdkirzJFHmTKfImU+RNpsibTJE3mSJvb775Zuyxxx4xbdq0WGONNWLKlCnxxhtvxMCBA+Occ86Jgw46KMrK/DMx1ZNSilmzZkXnzp1j0003jQsuuCA22WSTpb0slnPOU+TN9RR5k6li8MQJWEw+//zzOOSQQ2KdddaJu+++O55//vl4/PHH4+ijj44nn3wy7rjjjqW9RJYzMkXeZIq8yRR5kynyJlPkTabIm0yRt9GjR8cRRxwRbdq0iXvuuSdGjBgRgwYNivPOOy8+//zzuOGGG2LChAlLe5ksR7Isi9q1a8eqq64ajz76aPzlL3+JIUOGLO1lsRxzniJvrqfIm0wVh+IELCbvvfdefPnll9GrV6/Yf//9IyKiRYsWcfDBB0dERGlp6XyfqaioWKJrZPkiU+RNpsibTJE3mSJvMkXeZIq8yRR5SSlFRMRrr70Wo0aNimOPPTZ++9vfRkREmzZt4thjj4199tknXn/99ejbt+/SXCrLqSZNmkRERL9+/eLCCy+M999/fymviOWN8xSLi+sp8iZTxeHZRrCYjBkzJqZPnx6dO3eOiIjp06dH3bp1o27durHOOuvESy+9FCNHjozy8vLYfvvtY6eddor69etHRUVFlJToNDE/mSJvMkXeZIq8yRR5kynyJlPkTabIS5ZlERHx1ltvxezZs2OvvfaKiIjy8vIoKSmJNdZYIw499NC4995745lnnonf/e530bhx48rPwcLMO9+MGzcudtppp9hyyy3jqquuiizL4rzzzot27dot7SWynHCeYnFxPUXeZKo4FCcgZymlyLIsVllllYiIuO222+K0006LunXrRkTEzTffHCNGjIgRI0ZElmWRUopatWrFkUceGZdffnk0aNBgaS6fZZBMkTeZIm8yRd5kirzJFHmTKfImUywuJSUlUVFRER9//HGsuuqqVf4Bv3bt2hER8frrr8fQoUNj6623XppLZTlRUlISs2fPjnHjxsWWW24ZvXv3joqKirjmmmsiIpQnWGTOU+TF9RR5k6kCSkAuZs6cOd+2Dh06pNLS0rT77runM888M+22224py7K0+uqrp4cffji98sor6YUXXkibbLJJyrIsXXbZZWnu3LlLYfUsi2SKvMkUeZMp8iZT5E2myJtMkTeZYnGpqKhIKaX05JNPpizLUteuXauMT548OZ177rmpRo0aKcuydNFFF6WUkixRxbwcpZRSeXl5lbE//vGP6dJLL00ppfTZZ5+l008/PZWWlqYDDjggDRkyZImuk+WT8xR5cT1F3mSquBQnIAf/93//l3bZZZf0/vvvp5T+e9H37bffpt/85jepTp06qU2bNinLstS4ceP03nvvVfn8O++8kxo3bpx22mmnNGfOnCW+fpY9MkXeZIq8yRR5kynyJlPkTabIm0yRt7lz56YZM2akiRMnpunTp6eUUvrqq69Shw4dUpZlqVu3bun5559PAwcOTBdddFFq0qRJWmuttVKtWrXSHnvssZRXz/Ji3k2g0aNHp++++65y++jRo5Un+EnOU+TN9RR5k6liU5yAHPTv3z9lWZYOOuig9J///Ge+8c8++yw99dRTqbS0NJ155pkppVTlhPnll1+mli1bpizL0uDBg6u0uSkmmSJvMkXeZIq8yRR5kynyJlPkTabI05AhQ9LRRx+dNthgg7T66qunjTbaKD3wwAMppZQ+/vjjtNlmm6Usy1KWZalmzZopy7LUuXPn9Nxzz6U2bdqkxo0bpxEjRizlo2BZ8u6776Zjjjkm7bzzzmn//fdPV111Vfrmm2/m2++HT6JQnuDHOE+xOLieIm8yVWxlS/tVIbAi2GCDDSIi4oEHHohp06bFlVdeGRtuuGHleKtWrWLy5MlRUVER3333XURElJWVxZw5c6JGjRrRoEGDKCsri9atW0eLFi0iy7KlchwsO2SKvMkUeZMp8iZT5E2myJtMkTeZIi9vvfVW7LLLLlFaWhobbbRRNG3aNAYOHBhHH310fPbZZ3HaaafFPffcE//4xz/ilVdeidq1a8fmm28ep5xySjRt2jSOPPLIOOecc+LDDz+Mtddee2kfDsuAIUOGxE477RSNGzeOjTbaKD777LN48cUX4y9/+Utcd911seuuu0b9+vUjIqKkpKTyc2uuuWacdNJJERFxzTXXRETE+eefH23btl3yB8EyxXmKxcX1FHmTqYJb2s0NWN6Vl5enL7/8Mq255ppppZVWSvXr10/bbbdd+uijj6rsN3Xq1NS6deu0zTbbpDFjxlQZO/zww1OWZWmvvfZKkyZNWpLLZxkkU+RNpsibTJE3mSJvMkXeZIq8yRR5+frrr9OWW26ZNt988/TEE0+klL7P180335zWWGONtPLKK6e33norpfT9I/LnzJmTZs+eXWWORx55JGVZlnr37l35eYqpoqIizZgxI3Xp0iWtvvrq6emnn64ce/TRR9Puu++eatWqlS644II0atSohc4z78kTtWvXTrvuuusCf2OX4nCeYnFxPUXeZArFCcjJzjvvnNZee+101113pZVXXjl17Nixysl07ty56cILL0xZlqWdd9453Xvvvemtt95K3bt3T1mWpdVXXz0NGzZsKR4ByxqZIm8yRd5kirzJFHmTKfImU+RNpvilnn322dSwYcN0zTXXzDd21llnpSzL0p577pm+++67+cbnzp2bUkpp1qxZab311kvbb7+9d3GTpk+fnlq1apU6dOgw39iYMWPS8ccfn7IsS7///e/T0KFDFzrP6NGjU69evVLTpk3T6NGjF+eSWcY5T7G4uZ4ibzJVXIoT8AuVl5en8vLydNRRR6WVVlopDR06NN1yyy2pUaNGqWPHjlUa1R9//HE6/fTTU9OmTVOWZamkpCRlWZY23HDD9PHHHy/Fo2BZIlPkTabIm0yRN5kibzJF3mSKvMkUebn44otTlmXp5ZdfTil9n615NxqHDx+emjVrltq2bTvfb0P+r6233jqtscYa6dtvv13sa2bZNnny5NSsWbO0yy67VG774W/3z5kzJ/3xj3+sLE98+eWXC53ryy+/TGPHjl2s62XZ5zzF4uJ6irzJFGVL+1UhsLyb9x6/jh07xp133hkTJkyIww8/PEpLS+O0006LE088Ma655pp45ZVXYvz48dGjR4/Yfvvt47777ouSkpLYZJNNonv37tG8efOlfCQsK2SKvMkUeZMp8iZT5E2myJtMkTeZ4pcYPXp0rL766lFWVlaZgVGjRkWHDh2ioqIiysq+/yff8ePHx+TJk2P8+PFx//33x+9///v55qqoqIiSkpLo3bt3tG7dOho3brxEj4VlS0VFRZSWlkbz5s3jueeei+eeey46d+5cec6K+P497ldccUXMnDkzbrrppmjRokWcfvrplVn6oTXWWGNJHwLLCOcplgTXU+RNpvDECaiGioqKyr8X9v60AQMGpCzL0t13351SSmnChAmpX79+aaWVVkrrrbdeqlOnTlpvvfWW2JpZtskUeZMp8iZT5E2myJtMkTeZIm8yxeLw5ptvptVXXz0de+yxqby8PA0cODDVq1cvrbPOOlUeCT1lypR05ZVXprp166aysrJ04oknppT+m0v4MX379k1ZlqVjjjkmjRs3boH7jBo1Kv36179OjRs39jhyqnCeIk+up8ibTPFjSn66WgHMmjUrIiLKy8urNKcrKioqv27Xrl00a9YsXnzxxYiIWHnllWPXXXeNffbZJ4YNGxa1atWKBx54oPJzKaWIiMq/KRaZIm8yRd5kirzJFHmTKfImU+RNpsjboEGDokOHDjFmzJh46623IqUU2223XRxyyCExcuTI2GWXXaJ///7x4IMPxiWXXBIXX3xxNG/ePOrUqRMPPvhgfPPNN5Fl2dI+DJYh48aNi7fffjsGDBgQ77zzTuX2PffcM/bee+/4+9//Hg888ECVc868r1u0aBH77rtvTJo0Ka666qoqYxSX8xR5cz1F3mSKH6M4AT/h7bffjoMPPjjatWsXbdu2jVNOOSWefPLJiIgqJ9UmTZrEaqutFqNGjYqIiJkzZ8YTTzwRjz32WLRo0SIiIk4//fR47733oqSkpPIC0IVg8cgUeZMp8iZT5E2myJtMkTeZIm8yRd5ef/312HnnnaN9+/bxu9/9Lt5777149NFHIyKib9++cdhhh8Vnn30Whx9+eBx00EFx+eWXxzbbbBOPPvpo7LPPPjFu3LgYM2ZMRPhHfb737rvvxt577x1bb7117L777rHFFlvEpZdeGhERa665Zvz+97+PTTbZJP74xz/GP//5z8rPZVkW5eXlkWVZ/Pa3v42VVlopPv/888oxist5iry5niJvMsVPWkJPtoDl0vvvv5+aNGmS2rZtm4444oh07LHHpubNm6e6deumU089NU2bNq3K/l27dk3rr79++uyzz9JNN92UVlpppbTFFlukCRMmpAceeCBlWZb23HPPNGvWrKV0RCxtMkXeZIq8yRR5kynyJlPkTabIm0yRt0GDBqXatWunLbfcMr344ovpvffeS/Xq1UsXX3xxlf369u2bTjrppHTsscema665pjJrf//731OWZemCCy5IKXkMPim9/fbbqUmTJql169bpD3/4Q7r22mtT8+bNU5ZlqX///pX7Pfroo2mzzTZLtWvXTtdff3366quvqswzfPjwVL9+/bTPPvss6UNgGeM8Rd5cT5E3maI6FCdgIcrLy9Oxxx6bGjVqlJ544onK7e+880465ZRTUllZWdp///3Thx9+WDl29dVXp1q1aqWzzz47rbrqqmnzzTdPs2fPTimlNH78+NSvX7/08ccfL/FjYdkgU+RNpsibTJE3mSJvMkXeZIq8yRR5++HNyGeffbZye6dOndKvfvWrNHHixJ+cY9iwYalRo0apa9eui3GlLC/GjRuXOnbsmNq1a5f+3//7f5Xb573PvWvXrmnGjBmV25966qnUqVOnVFpamg466KD00EMPpQkTJqQxY8ak7t27pyzL0hVXXJFScrO7qJynyJvrKfImU1SX4gQsxJw5c9IWW2yRNthgg8qTYXl5eUoppQkTJqSbb7451a9fP3Xu3Dm98cYbKaWUnnjiiZRlWcqyLG2++eZpzpw5KaVU+Xn/56HYZIq8yRR5kynyJlPkTabIm0yRN5kiT2+99VbKsixttdVW6bnnnqsydvbZZ6caNWqk119/PaWUKnPzQxUVFam8vDzNmjUr7bTTTqlp06ZpxIgRS2TtLLs+/vjj1Lhx43T++edXbps7d24qLy9Pa6+9djrppJPSnDlz0pQpUyrHhw0blk477bTKc1WDBg1SzZo1U5ZlaY899khffvnlUjgSlgXOUywOrqfIm0xRXYoTsBDl5eVpm222Sa1atUrjxo1LKVU9Ec6YMSPdc889qUGDBmmXXXZJo0aNSjNnzkzt2rVLbdu2rTyJLuiCkGKSKfImU+RNpsibTJE3mSJvMkXeZIq8zJo1K/Xu3Tvtsssu6ZlnnqncPnfu3JRSSqNGjUp169ZNJ5xwQrXmO/HEE1OTJk3SN998s1jWy/Lj9ddfT3Xr1k033HBDle3jx49P66yzTlpvvfVShw4d0jrrrJOOOeaY9Oqrr1aex1555ZV00UUXpW7duqVevXql+++/P40dO3ZpHAbLAOcpFhfXU+RNpqguxQn4EQceeGDKsizdeuutlRd8PzRjxox08803p5o1a6bDDjsspZTSxIkTnURZKJkibzJF3mSKvMkUeZMp8iZT5E2myMvXX3+dhg0bVvmff/gP/FOmTEmdOnVKLVu2TJ988slC55j325SvvvpqGj58+OJbLMuNKVOmpHXWWSdtvfXW6e23306TJ09O06dPT0cddVTKsiyVlZWl9u3bp+bNm6eaNWumTTfdND366KN+s5YFcp5icXE9Rd5kiupQnIC08EfqvPzyy2nllVdOO+20U2V7+n/3HTNmTDr00ENTlmXp7rvvrtw+74KPYpIp8iZT5E2myJtMkTeZIm8yRd5kiiVhXiYWlLcHH3wwZVmW7rzzzoXuAwty7733ppVXXjk1adIkbbbZZmnbbbdNWZalVq1apVdffTVNnTo1jRo1Kl199dWpXr16aZ999ql8NPncuXMrsyZzpOQ8xS/jeoq8yRS/REkAMWvWrJg8eXI8//zzMXz48JgzZ05ERLRp0ya6desWL774YvzpT3+KiIgsyyKlVPnZVVddNY4++uiIiPjXv/4VEREVFRVRUuJ/XkUmU+RNpsibTJE3mSJvMkXeZIq8yRR5GzVqVDz77LNx5513xmuvvRazZ8+OkpKSmDt3bmRZNt/+W2yxRay33npx/vnnx8iRIxe4D8X2v5maNWtWRETssssu0b9//9hoo42iRYsW8eabb0ZExIMPPhjbb7991KtXL1q2bBndu3ePzTffPB5//PF47rnnIiKitLS0MmsyVzzOU+TN9RR5kyl+kaXV2IBlxZdffpnOPffc1Lp165RlWWratGnq2rVrmjZtWkoppQ8//DB16dIlZVmWTjzxxCqfLS8vT+Xl5WnGjBmpZcuWae21104zZszQnC04mSJvMkXeZIq8yRR5kynyJlPkTabI2+DBg1PLli1TlmUpy7JUr1699Nvf/jZNnz49pbTw33Q8//zzU5Zl6bbbbksppQU+eppiWlCm9t9//8rzVErf52rixIlpk002SVtttVVK6ftHkVdUVFRm6ZhjjklZlqV77rlnqRwHyw7nKfLmeoq8yRS/lOIEhTZx4sR00kknpQYNGqTddtst9enTJ2255ZYpy7J0zDHHVD6C7v3330/77LNPyrIsHX744emzzz6r8j6jmTNnptVWWy3ttNNOS+tQWEbIFHmTKfImU+RNpsibTJE3mSJvMkXehgwZkho2bJhKSkrS4Ycfns4888y03nrrpSzLUrdu3dKsWbPm+8y8G5Tjx49PG264Ydp0000r9/M4aRYlU3Pnzk3bbrttWn/99Su3zZgxo/LrHXbYIdWsWTM9/fTTS/QYWLY4T5E311PkTabIg+IEhfbaa6+llVdeuUqzrKKiIq233nqpZcuW6csvv6zc/uGHH6ajjz461ahRI22xxRbpwgsvTO+880568803U9euXVOWZemss85K5eXlGmgFJlPkTabIm0yRN5kibzJF3mSKvMkUeZo6dWrab7/9UpZl6a9//Wvl9kmTJqX11lsvNWjQIL322msppQW/s3vWrFnpjDPOSFmWpd/97ndLbN0suxYlU3PmzElz5sxJJ598csqyLF166aVV5urZs2fKsixtueWW6Ztvvlmix8Gyw3mKxcH1FHmTKfKgOEGhnXbaaalhw4aVbbLJkyenlFK69NJLU6NGjdL777+fUvrvBd+oUaPS7bffntq0aZOyLEs1atRIWZalmjVrpt/85jfpiy++WDoHwjJDpsibTJE3mSJvMkXeZIq8yRR5kynyNHXq1LThhhum9u3bV26b99j7O++8M2VZli688MIfneOrr75Kbdq0STVq1PBUAH5Wpt5888201lprpSzL0iGHHJIuvvjitNtuu6Usy9Jqq62WPv300yV6DCxbnKdYHFxPkTeZIg9lAQVWt27dKC0tjTFjxsSaa64ZDRs2jIiIb775JqZMmRLPPvts3HvvvdGwYcM47rjjomXLlnHUUUfFwQcfHPfcc0+MGTMmZs+eHR07doz27dtHkyZNlvIRsbTJFHmTKfImU+RNpsibTJE3mSJvMkVeUkrx9ddfx+jRo2PbbbeNiIg5c+ZEnTp1IiKiffv2UaNGjXjllVciIqK8vDxKS0urzFFeXh6rr756nHnmmdG7d+/YYIMNluxBsExZ1EzNnTs3ysrKYsstt4x77rknzjzzzHj44Ydj5syZUadOndhmm23irrvuijZt2iy1Y2Lpcp5icXE9Rd5kilws5eIGLFV9+/ZNWZalIUOGVG776KOP0kYbbZSyLEsNGzZMWZalLMvSr371q/T5558vxdWyPJAp8iZT5E2myJtMkTeZIm8yRd5kirztvPPOac0111zg2Pbbb59WXXXVNGXKlB+d48svv0xjxoxZHMtjObSomZr327effvppeuqpp9Kll16ann/++TR27Nglsl6Wfc5T5M31FHmTKfJQsrSLG7A0lJeXR0TEVlttFeecc040atSocmzMmDHxxRdfxK233hr//ve/48svv4yjjz46Pvzwwzj44INj1qxZEfF923aeH35NMckUeZMp8iZT5E2myJtMkTeZIm8yRd4qKioiIqJdu3ZxyCGHLHCfVq1axYQJE2L69OlVPjPPvBytscYaseqqqy7G1bI8+LmZyrIsIiLatGkTu+++e/zpT3+KnXbaKVZZZZUls3CWWc5T5M31FHmTKfKUJQmgAMaNGxcTJkyIWbNmRYsWLWLllVeuHPvfx4dNnz49Jk6cGM2bN4+UUmRZFrNmzYp99903nnnmmXjnnXdi0003XQpHwbJEpsibTJE3mSJvMkXeZIq8yRR5kynytrBMzcvMD7+e93fv3r3jkksuiZdeeik6dOhQOdcrr7wSa6yxRqy77rpL5VhYNuSZqZdffjmaN28uUwXnPEXeXE+RN5licfLECVZ4b775ZnTq1Cm22Wab2GmnnaJt27Zx7rnnxuuvvx4REaWlpVUaZHXr1o3mzZtHRESWZTFz5syoVatWdO/ePSK+fx8SxSZT5E2myJtMkTeZIm8yRd5kirzJFHlbWKYGDRpUeTOyvLy88ut5f8+74ThhwoTKuZ5++uno1q1bdO3atfI3JSmevDPVvXt3mSo45yny5nqKvMkUi5viBCu04cOHx3777Rc1atSIP//5z3HLLbfEHnvsEX/729+iW7du8c9//jMi/nuRF/HfR4mllGL27NlRu3btiIh4++23Y+WVV4527dot+QNhmSFT5E2myJtMkTeZIm8yRd5kirzJFHn7sUx17969MlM//A3JeerUqRMREd9++21ERDzxxBNx5plnxvTp0+OWW26JWrVqLbkDYZkhU+RNpsib6ynyJlMsEQlWQBUVFSmllG655ZaUZVm6/fbbq4w/9NBD6de//nXKsixde+21ldvLy8srv545c2bl1//85z/ThhtumPbYY480efLkxbx6lkUyRd5kirzJFHmTKfImU+RNpsibTJG3n5upH3ryySdTlmWpd+/e6d///nf61a9+lRo2bJiGDBmy2NfPskemyJtMkTfXU+RNpliSFCdYoZ155pkpy7L01VdfpZSqnhzfeOONtO+++6Ysy9Jll11W5XPnn39+qlu3btp1113Tdtttl+rVq5dWW2219NFHHy3R9bPskSnyJlPkTabIm0yRN5kibzJF3mSKvP2cTM27SfDqq6+mGjVqpM6dO6dtt93WzUhSSjJF/mSKvLmeIm8yxZLgVR2s0EpKvo/4v//974iIqFmzZuX7jbbaaqu44IILYt99942zzjorbr311oj4/pE9zZo1ix133DHefvvtmD59ehx44IHxyiuvxAYbbLB0DoRlhkyRN5kibzJF3mSKvMkUeZMp8iZT5O3nZGreY6YrKiqioqIi/v3vf8dHH30UL7/8ssdKI1PkTqbIm+sp8iZTLBFLsKQBS9xLL72UatasmY488sjKbeXl5ZVt2JS+b6K1b98+ZVmWnn766SqfHzlyZJo5c2aaMWPGElszyzaZIm8yRd5kirzJFHmTKfImU+RNpsjbomZqwIABldu//vrr1LZt29SoUaP04YcfLtF1s+ySKfImU+TN9RR5kymWBMUJVig/fGdRSimNGjUq7bDDDinLsnTzzTdXbq+oqKhyMu3Xr1/Ksix169YtTZo0qXKeH+5DMckUeZMp8iZT5E2myJtMkTeZIm8yRd7yyNSUKVMq9+nbt28aNmzYklk8yySZIm8yRd5cT5E3mWJpUJxghTBu3LjKr//3ZPrkk0+mhg0bpjp16qT777+/yn4/PFHuuOOOabXVVkujR49e/AtmmSdT5E2myJtMkTeZIm8yRd5kirzJFHmTKfImU+RNpsibTJE3mWJpKlnarwqBX2r48OGxyy67VL6zqKSkJCoqKirfbbTHHnvETTfdFLNnz45TTjklHnjggcr9siyLmTNnRkREs2bNYuzYsTFy5MilcyAsM2SKvMkUeZMp8iZT5E2myJtMkTeZIm8yRd5kirzJFHmTKfImUyx1S6WuATkaPHhwqlmzZmrdunW66667Krf/b8Ps7rvvTg0bNkx169ZNf/nLX+abZ5tttknrrrtuGjNmzJJYNsswmSJvMkXeZIq8yRR5kynyJlPkTabIm0yRN5kibzJF3mSKvMkUS5viBMu1ioqKNGLEiFS/fv1UWlqa1lxzzXTPPfdUjpeXl1d5lM+//vWv1K5du5RlWdp5553TWWedlW655Za0xx57pCzL0hFHHJGmTZu2NA6FZYRMkTeZIm8yRd5kirzJFHmTKfImU+RNpsibTJE3mSJvMkXeZIplgeIEy72hQ4empk2bpm7duqUsy1KzZs3SP/7xj8rx/22ivfPOO+nPf/5zat68ecqyLGVZllZfffV06KGHps8//3xpHALLGJkibzJF3mSKvMkUeZMp8iZT5E2myJtMkTeZIm8yRd5kirzJFEtbltL//2IYWE598MEHsfHGG8e7774bo0aNin333TeaNWsWf/3rX6Nbt24REVFRURFZlkWWZZWf+/bbb+Pjjz+OqVOnRvv27aN27drRoEGDpXUYLENkirzJFHmTKfImU+RNpsibTJE3mSJvMkXeZIq8yRR5kynyJlMsdUu7uQG/1HPPPZdWWmml9OGHH6aUUrr//vtTlmVplVVWma+JNs/cuXOX+DpZfsgUeZMp8iZT5E2myJtMkTeZIm8yRd5kirzJFHmTKfImU+RNpljaPHGC5cawYcPixRdfjOHDh8eWW24Zm2++ebRq1SoiIu6+++7YZ599YqWVVoqIiAcffDAOOuigBTbRSkpKltYhsIyRKfImU+RNpsibTJE3mSJvMkXeZIq8yRR5kynyJlPkTabIm0yxzFrazQ2ojrfeeiutttpqle8oyrIs7b333unpp5+ust+cOXMqv37ggQd+solGcckUeZMp8iZT5E2myJtMkTeZIm8yRd5kirzJFHmTKfImU+RNpliWKU6wzPvggw9S06ZNU7169dLJJ5+crrnmmrTvvvumsrKytP/++6cxY8ZU2b+ioqLyaydTFkSmyJtMkTeZIm8yRd5kirzJFHmTKfImU+RNpsibTJE3mSJvMsWyTnGCZVZFRUWaPXt26tatW8qyLF111VWVY8OGDUu//e1vU5Zl6V//+tcCPzvPvJNp8+bN05133rkkls4ySqbIm0yRN5kibzJF3mSKvMkUeZMp8iZT5E2myJtMkTeZIm8yxfJCcYJl2uzZs9NGG22U2rVrl+bOnVtl7J577klZlqWDDz44zZ07d75W2Q9Ppg899FDKsiy1adMmTZ48eYmsnWWTTJE3mSJvMkXeZIq8yRR5kynyJlPkTabIm0yRN5kibzJF3mSK5UGWUkoBy6g5c+ZE27Zto0GDBvHaa69FzZo1I6UUWZbF3Llzo127dlG7du14/fXXo1atWvN9ft6+ERGPPfZYrLvuuvGrX/1qSR8GyxCZIm8yRd5kirzJFHmTKfImU+RNpsibTJE3mSJvMkXeZIq8yRTLg5KlvQBYmJRSlJaWRosWLWLkyJExZsyYiIjIsiwqKiqirKwsVl999RgxYkSMHj16gXNkWRbzukH77LOPk2jByRR5kynyJlPkTabIm0yRN5kibzJF3mSKvMkUeZMp8iZT5E2mWF4oTrDMyrIsSkpKolevXnHiiSdGy5Yt59tniy22iKlTp8bXX38dEVF50vwhD1VhHpkibzJF3mSKvMkUeZMp8iZT5E2myJtMkTeZIm8yRd5kirzJFMuLsqW9APgp+++/f+y///4R8d9H8ZSUfN/5WXvttSMiYvr06RERlY/peeGFF+Krr76KQw45pHJfmEemyJtMkTeZIm8yRd5kirzJFHmTKfImU+RNpsibTJE3mSJvMsWyTsJYrsw7Uc5rla2xxhoRETF06NDKfZ588sk4+eST48ILL4wJEyYs+UWyXJEp8iZT5E2myJtMkTeZIm8yRd5kirzJFHmTKfImU+RNpsibTLEs8sQJlkvzTqjrrLNORPy3gfbkk0/G2WefHSNHjozXXnstmjRpstTWyPJFpsibTJE3mSJvMkXeZIq8yRR5kynyJlPkTabIm0yRN5kibzLFskRxguVaaWlpRERMmDAhnn322TjjjDNi9OjR8dprr0W7du2W8upYHskUeZMp8iZT5E2myJtMkTeZIm8yRd5kirzJFHmTKfImU+RNplgWZGneM1BgOTR06NBYf/31Y/3114+ysrIYNWpUDBw40EmUn02myJtMkTeZIm8yRd5kirzJFHmTKfImU+RNpsibTJE3mSJvMsWywBMnWK6ttNJKsdZaa8Unn3wSjRo1ildffdVJlF9EpsibTJE3mSJvMkXeZIq8yRR5kynyJlPkTabIm0yRN5kibzLFskBxguVajRo1Yvbs2RER8dprr8WGG264lFfE8k6myJtMkTeZIm8yRd5kirzJFHmTKfImU+RNpsibTJE3mSJvMsWywKs6WO59/PHHkWVZrL/++kt7KawgZIq8yRR5kynyJlPkTabIm0yRN5kibzJF3mSKvMkUeZMp8iZTLG2KEwAAAAAAAABAYZUs7QUAAAAAAAAAACwtihMAAAAAAAAAQGEpTgAAAAAAAAAAhbVCFiemTZsW7du3jx49euQ256OPPhpbb7111K9fP1q1ahVXX311bnMDAAAAAAAAQHUNHTo0DjjggFhllVWiRo0a0bRp0zjhhBNiypQpC9y/vLw89txzz9hxxx1/dN5FuS8+fvz4uPHGG6Nnz55xzDHHxG233RbTpk1b4L7vv/9+7L333tGkSZNYeeWV4/jjj4+pU6dW61jvuuuuyLIsXnzxxfnGHn/88dhhhx2iSZMm0ahRo2jfvn1cf/31UV5eXq2551nhihPl5eXRvXv3ePfdd3Ob829/+1vsu+++MXz48DjyyCNjyy23jNNOOy3OP//83L4HAAAAAAAAAPyUjz76KLbccst46KGHokGDBtG5c+eIiLj55ptjt912W2Bp4OSTT46nnnrqR+ddlPviQ4YMiU022SROOumkeOGFF+Lhhx+OY445JjbddNMYM2ZMlX3ffPPN2G677eLpp5+OPffcMw466KDo169f7LPPPpFS+tE1ffHFF/GHP/xhgWMPPfRQdOnSJSZPnhyHHXZYdO3aNcaPHx8nnXRSHH/88T867//K0k+tZDkyceLE6Nq1awwYMCAiIo444oj4+9///ovmHDFiRGy00UbRsGHDeOutt6JVq1YREXHWWWfFVVddFe+991786le/+qVLBwAAAAAAAICf1LFjxxg4cGDcfPPNcfTRR0eWZTFp0qTo0KFDfPDBB/Gvf/0runTpEhERM2fOjGOPPTb69etX+dkFPblhUe6Lz5o1KzbddNOYMmVKPPPMM9G2bduoqKiIq6++Os4444w46qij4vbbb4+IiLlz58bGG28cH3/8cTz++OOx1157RUTEM888E7vvvnv07ds3jj322IUe6+677x7PPPNMRES88MILlU/MSClFq1atonHjxjF48OCoUaNG5fFus802MWTIkBg2bFiss8461fqZrlBPnNhqq61i4MCBcd111+U256233hqzZs2Ks88+uzIcERFnnHFG1KxZM/r375/b9wIAAAAAAACAhfnoo49i0KBB8cc//jF69uwZWZZFRMRKK60UJ5xwQkREDB48uHL/vffeO+69997o27fvj867KPfF+/fvHx9//HHceOON0bZt24iIKCkpidNOOy1WXnnlKsWMf//73/HRRx/FPvvsU1maiIjYbbfdYtttt40777xzoWu65ZZb4plnnqmynnnGjh0bo0ePjl133bWyNBERUbt27ejcuXOklGLYsGE/esw/tEIVJxo3bhxvvvlm7L333rnN+fLLL0dExP777z/f99pyyy3j2Wefze17AQAAAAAAAMDCbLjhhjFt2rS46KKL5hubO3duRESVIkGWZfHiiy/+6FMdIhbtvvh+++0XL7/8cuVTLX74/b/77ruoV6/eT84bEbHrrrvGG2+8EVOmTJlv7LPPPovTTjstNtpoo/jTn/4033jdunUjy7L4z3/+M9/YkCFDIiJi7bXXXujx/q8VqjgxaNCg2GijjXKd8+uvv46VV145WrZsOd9YmzZtYvjw4bl+PwAAAAAAAABYmBo1akStWrXm2/74449HRMQOO+xQue2pp56K7bff/ifnXJT74iuvvHJ06NCh8mkX8/zlL3+J2bNnV3nQwddffx0REe3bt1/gvCmlGDlyZJXtKaU48sgjY+bMmdGvX7+oXbv2fJ9t2LBh7LXXXvHUU0/FZZddFuPHj49vvvkmLrzwwnj22WejU6dO0aZNm5887nlWqOJEaWlp7nNOmTIlVltttQWONW7cOCZNmhTTpk3L/fsCAAAAAAAAQHUMHDgwnnvuudh4441jp512qtxe3XvoP/e++MSJE+PWW2+NffbZJ84888zYbbfd4txzz60yb0TEqquuusB5IyK++OKLKtuvv/76ePHFF+OCCy5YYOFinrvvvjs6deoUZ511VjRr1ixWXXXVOP/886Nbt27xyCOP/PRB/0DZIu1dQKWlpVG3bt0Fjs1r8UyfPr3K40aWN7169VraS1hu/O1vf1vaS1guyFT1yVT1yFT1yVT1yFT1yVT1yFT1yVT1yFT1yVT1yFT1yVT1yFT1yVT1yFT1yVT1yFT1yVT1yFT1yVT1yFT1yVT1yVX1rIiZmjFjRvTs2TOyLItrr712vidBVMfPvS/+6aefxkknnRQzZ86MWrVqxXHHHVflCRHzihsLmvuH884zdOjQOOuss2LbbbeNM88880fXPGDAgBg0aFBERDRt2jQqKiri22+/jRdeeCEeeeSROPzww3/qsCutUE+cWBzq168fs2bNWuDY7Nmzq/wNAAAAAAAAAEvS73//+/j444/jpJNOih133PFnzfFz74tvvfXWMWXKlHj66aejdevWsf/++8ftt99eZd6IWODc/ztvRUVF9OjRI7Isi379+v3o0zJGjhwZPXr0iCZNmsSrr74a48aNiwkTJsSAAQMipRQ9evSIl156qZpHrzjxk9Zcc8353qkyz9ixYyPiv48QAQAAAAAAAIAl5bbbbovbb789ttpqq7jiiit+9jy/5L54jRo1Yrfddovnnnsu6tWrF717947y8vLKeSMiRowY8ZPzXnXVVfHaa6/FNddcE+uuu+6Prvfee++NmTNnxrXXXhvbb7995fZddtkl7rjjjkgpxd133/2jc/yQ4sRP2GyzzeK7776LDz/8cL6xQYMGRYMGDRb6yBIAAAAAAAAAWBxeffXVOPHEE2PVVVeNBx98MGrWrPmz51rU++Ippfn2W2211WKLLbaIMWPGxMSJEyvnjYh48803FzjvvM9NmDAhzjvvvGjYsGF8/vnn0bt378o/Dz/8cERE3H777dG7d+8YOXJkfP755xERsdFGG803b7t27SIi4osvvqj28StO/IQuXbpExPzvunnjjTfi008/jU6dOi2NZQEAAAAAAABQUP/5z3+iS5cukWVZPPzww9GiRYtfNN+i3Bc/4YQTolmzZjFlypT55pkwYUKUlJRUliw6deoU9erVi1tuuaXyKRQREd9991088sgj0aRJk9hkk01i6tSpMWvWrJgyZUr06dOnyp/HH388IiL69+8fffr0iVGjRsUqq6wSERFDhw6dbw2DBw+OiIimTZtW+/gVJ37CTjvtFJtvvnncdNNNceutt0ZKKYYOHRpHHXVUREQceeSRS3mFAAAAAAAAABTFsGHDolOnTvHtt9/G7bffHtttt90vnnNR7otvt912MWHChDjuuONizpw5ldsffvjh+OCDD2KnnXaqLE40aNAgjjvuuPi///u/OOGEE2L69OkxderUOOKII2LcuHFx+OGHR2lpaay11lqRUlrgnzvvvDMiIl544YVIKcWOO+4Ym2yySUREnH/++TFq1KjKNbz++utxyimnRETEXnvtVe3jL/uZP7fl2qRJk+Kqq66Kxo0bx6mnnvqT+993333RqVOnOPbYY+OPf/xjTJ8+PSoqKuLYY4+NffbZZwmsGAAAAAAAAAC+f+LD2LFjY5111omPPvooevfuXWV87bXXjqOPPnqR563uffFDDjkk7r///vjnP/8Z7733XnTu3Dm++eabePjhh2OVVVaZ76kVl1xySQwZMiRuvfXWuPvuuyOlFLNnz45NN900Lr744p/1M+jSpUt06NAhXnnllVh77bWjWbNmMWPGjJg6dWpEROy4447RtWvXas9X2OJEnz59olWrVtUqTqy77rrxwQcfxJVXXhnPP/981KtXL4488sg4+OCDl8BqAQAAAAAAAOB7L730UkREjBgxIvr06TPfeMeOHX9WcaK698VLSkriwQcfjOuvvz7uuuuuuOOOO2L11VePXr16Re/evaNZs2ZV9q9Vq1YMGDAg7rjjjrjvvvtixowZseeee8app54aNWvWXOR1RkSUlZXFgAED4uqrr4777rsvhg0bFuXl5dG6des44IAD4txzz42Skuq/gGOFLE7Me4zHzx1fkPr168ef//zn+POf//xLlwcAAAAAAAAAP8vs2bN/1ueqc4+8uvfFa9WqFaeddlqcdtpp1freWZbF0Ucf/bMKHT169IgePXrMt7127dpxzjnnxDnnnLPIc/6v6lcsAAAAAAAAAABWMIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhKU4AAAAAAAAAAIWlOAEAAAAAAAAAFJbiBAAAAAAAAABQWIoTAAAAAAAAAEBhrXDFiTlz5sSVV14Z66+/ftSpUyc222yzePrpp3/RnJMmTYrjjz8+WrduHXXq1IkWLVrEwQcfHB9//HFOqwYAAAAAAACA6ps2bVq0b98+evToUa39P/7446hdu3ZsvPHGMXfu3PnGF+W++KxZs+Liiy+O9dZbL2rUqBF169aNjh07xhtvvFGttfz5z3+OLMvis88+m29s7ty5ce+990avXr3iqKOOissvvzxGjx69wHkef/zx2GGHHaJJkybRqFGjaN++fVx//fVRXl5erXXMs0IVJ1JKceihh8YZZ5wRpaWlceKJJ0atWrXiN7/5TTz33HM/a87Zs2dH586d44477oitt946evXqFRtvvHE8+OCDsfXWW8eHH36Y81EAAAAAAAAAwMKVl5dH9+7d4913363W/hUVFXHkkUfGnDlz4pZbbomysrIq44tyXzylFPvuu2+ce+65MWbMmOjYsWOsu+668fLLL0fHjh3jnXfe+dG1vPvuu9GnT58Fjk2dOjU6duwY3bt3j0ceeSSef/75+NOf/hRt27aNF154ocq+Dz30UHTp0iUmT54chx12WHTt2jXGjx8fJ510Uhx//PHV+rnMs0IVJ/7xj3/E/fffHx06dIh33303rrrqqhg4cGBsu+220bNnz5gzZ84iz9mvX794++23o3///nHPPffE1VdfHf/v//2/6N+/f0yZMiUuv/zyxXAkAAAAAAAAADC/iRMnxp577hmPPfZYtT9zzTXXxOuvvx69evWKbbbZZr7xRbkv/ve//z2efvrp6NKlS4waNSqee+65eP/996N3794xa9asuOiiixa6jtmzZ8cRRxyx0Hv3J510Urzxxhtx3333xddffx2fffZZPP/88zFnzpzo2bNn5X4ppTjllFOiXbt28c4778Rf//rX6Nu3b3z66aexySabxO233x4jRoyo9s9nhSpO3HDDDRERcd1110WtWrUiIqK0tDTOPffcGDVqVDz//POLPOdbb70VERF77bVXle177713REQMHTr0lywZAAAAAAAAAKptq622ioEDB8Z1111Xrf0//fTTOO+886J58+YLfdLDotwXv/3226NFixZx3333RePGjSu3/+lPf4qIiMGDBy90LRdccEG8//770apVq/nGhg4dGnfffXf87ne/i4MOOqhy+0477RS77757jBgxovKVHWPHjo3Ro0fHrrvuGjVq1Kjct3bt2tG5c+dIKcWwYcMWuo7/tcIUJ2bMmBFvvfVWrL322rHppptWGdtxxx2jZs2a8eyzzy7yvPXr14+IiP/85z9Vtg8ZMiQiItZee+2ft2AAAAAAAAAAWESNGzeON998s7LU8GMqKiriqKOOihkzZsQNN9wQDRs2XOB+i3Jf/NVXX40PP/yw8mEG85SXl0dEVCky/NAbb7wRV1xxRXTq1CmOOOKI+cbXXHPNeOONN+Lcc8+db2zSpEkREVGvXr2IiKhbt25kWTbfehe25p+ywhQnxo0bF+Xl5dG+ffv5xmrWrBktW7aM4cOHL/K8Bx54YJSWlsbRRx8db7/9dkyfPj1ef/316NmzZ5SUlMRxxx2Xx/IBAAAAAAAA4CcNGjQoNtpoo2rte+ONN8bAgQOjVatWMWTIkDjllFPixhtvjIkTJ1bZb1Hvi88rWvzQ448/HhERO+yww3xjM2fOjCOOOCIaNGgQf//73yPLsvn2qVOnTmyxxRbRpEmTKttfe+21ePnll2O77baLlVdeOSIiGjZsGHvttVc89dRTcdlll8X48ePjm2++iQsvvDCeffbZ6NSpU7Rp06ZaP6OIiLJq77mMmzJlSkRErLrqqgscb9y4cXzxxReLPO/WW28d999/f3Tt2jW22GKLyu2rrrpqPPbYY/HrX//65y0YAAAAAAAAABZRaWlptfYbN25c5dMbRo0aFeeff37l2MUXXxz//Oc/o2PHjhHxy++Lz5kzJy655JLIsixOPvnk+cbPPvvs+OSTT+Kee+6JNddcs1rrv/fee+Pll1+OO+64I1q2bBn9+vWrMn733XfHgQceGGeddVacddZZldu7desWffv2rdb3mGeFeeLEvHDUrVt3geO1atWK6dOnL/K83333XVx33XUxZ86cKCsri+bNm0eNGjXim2++iZtvvjkmTJjwi9YNAAAAAAAAAHm74oorYvLkyVGrVq248cYb47PPPosPP/wwzjzzzPjmm29iv/32izFjxkTEL78v3qdPn/jwww+jR48esfnmm1cZe+WVV+Laa6+Ngw46KLp3717t9Z944olx8803x+zZs6N79+7RokWLKuMDBgyIQYMGRURE06ZNK59G8cILL8QjjzxS7e8TsQIVJ+Y9CmTWrFkLHJ89e3bMnj17kec99dRT46WXXoqTTjopJk6cGF988UV8/fXX0bNnz3jiiSfiwAMP/EXrBgAAAAAAAIC8PfTQQxHxfYGiV69e0apVq9hwww3jsssuixNPPDEmTpwY9913X0T8svviL730Ulx88cXRqlWr+Mtf/lJlbNq0aXHkkUfGaqutFjfddNMirf/bb7+Nd999N/bdd9/o06dPHHXUUZVjI0eOjB49ekSTJk3i1VdfjXHjxsWECRNiwIABkVKKHj16xEsvvVTt77XCFCdWX331KC0tjREjRixwfOzYsdG4ceNFmnPu3LnRr1+/2GSTTeKvf/1rZTmjSZMmccstt8SWW24ZL7zwQowePfoXrx8AAAAAAAAA8vLFF19ESUlJ9OjRY76xXXfdNSIiPvnkk190X/zLL7+Mgw8+OEpLS+P++++PRo0aVRk//fTTY/jw4XHHHXdUPhFiUWy66abx4IMPxlZbbRX9+/eP//znPxHx/Ws8Zs6cGddee21sv/32lfvvsssucccdd0RKKe6+++5qf5+yRV7ZMqqsrCzatm0bgwcPjpRSZFlWOTZmzJgYNWpUbLzxxos05/jx42PGjBmx4YYbVplvnnbt2sVbb70VX3zxxXyPBQEAAAAAAACApaVhw4ZRWloaDRs2nG9szpw5ERFRs2bNn31ffPr06bHvvvvG2LFj45Zbbomtttqqyuc++OCDuPnmm6NFixbxyiuvxCuvvFI59vLLL0dExNVXXx2NGjWK0047LVZaaaX57vVHRJSWlsYee+wRb775Znz00Ufxq1/9Kj7//POIiNhoo40WuN6I74sj1bXCFCciIrp06RIXXnhhPPTQQ3HAAQdUbr/rrrsiIqJTp06LNF/Tpk2jpKQkhg4dusDxt99+u3I/AAAAAAAAAFhWbLbZZvHCCy/EtGnTol69elXG3nvvvYiI2HjjjX/WffE5c+bEwQcfHIMHD47f//73ccwxx8z3ufHjx0dKKUaPHh19+vRZ4Nw33HBDRET07NkzHn/88Tj++OPjySefjI4dO1bZb8KECRERlU/DWGWVVSIiYujQobH++utX2Xfw4MHzrfenrDCv6oiIOPbYY6NBgwbRq1evGDRoUEREPPXUU3HJJZdE/fr1f/S9KwtSVlYWG220Ubz99ttx0003xdy5cyMiYsqUKXH66afH//3f/0WbNm2iTZs2uR8LAAAAAAAAAPxchx56aJSXl8dZZ50VKaXK7R9//HHlKzm6dOmyyPfFU0rRvXv3eOKJJ2KPPfaIv/zlLwv8/jvuuGOklBb45/zzz4+IiJEjR0ZKKdZaa63o0KFDzJw5M44//vgYN25c5TwjR46Mfv36xUorrRQ77LBDRERssskmERFx/vnnx6hRoyr3ff311+OUU06JiIi99tqr2j+rFeqJE82bN4/+/ftH9+7dY7vttouGDRvGlClTorS0NO68885YY401IiJi0qRJcdVVV0Xjxo3j1FNP/dE5L7vssth3332jV69eceqpp0bDhg1j3LhxUVFREaWlpXHjjTcuiUMDAAAAAAAAgGo77LDD4sEHH4zrr78+Bg0aFNtvv32MHTs2/vWvf8XMmTOjb9++0aRJk4hYtPvi//jHP+LBBx+MLMuiTZs2lSWIH5r36o1FsdZaa8Wll14aZ555Zmy44Yax7777RpZl8cgjj8S0adPi3nvvrXziRJcuXaJDhw7xyiuvxNprrx3NmjWLGTNmxNSpUyPi+9JG165dq/29V6jiRETEPvvsE0OGDInLL788hgwZEi1atIgzzzwzNt9888p9Jk2aFH369IlWrVr9ZHFir732ildffTUuv/zyGDhwYEyYMCEaNmwYW221VZxzzjnx61//enEfEgAAAAAAAAAskpKSkvjXv/4Vt912W9x1111x9913x5w5c6Jdu3bxpz/9Kfbff//KfRflvvhLL70UEd8/eeK6665b4Pfu2bPnIhcnIiLOOOOMaNOmTVx99dXxwAMPRL169aJjx45xwQUXRLt27Sr3KysriwEDBsTVV18d9913XwwbNizKy8ujdevWccABB8S5554bJSXVfwHHCleciIhYZ511om/fvgsdX2uttao8iuSnbL311vHwww/nsTQAAAAAAAAA+MWqc9+7tLQ0jjvuuDjuuON+cr7q3he/5ZZb4pZbbqn2OhfkggsuiAsuuGCBY/vtt1/st99+PzlH7dq145xzzolzzjnnF60lIqL6FQsAAAAAAAAAgBWM4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFiKEwAAAAAAAABAYSlOAAAAAAAAAACFpTgBAAAAAAAAABSW4gQAAAAAAAAAUFgrXHFizpw5ceWVV8b6668fderUic022yyefvrp3OYfN25cNGvWLFZfffWYPHlybvMCAAAAAAAAQHVNmzYt2rdvHz169FjoPl9//XUcddRR0bx58ygrK4tGjRpF9+7d46uvvvrRuRflvvgll1wSWZYtdLyioiKuvPLK2HjjjaN+/fqxyiqrxM477xxPPfXUAve/7777YvPNN486depE7dq1Y4MNNoh+/fotcN/HH388dthhh2jSpEk0atQo2rdvH9dff32Ul5f/6Jr/1wpVnEgpxaGHHhpnnHFGlJaWxoknnhi1atWK3/zmN/Hcc8/l8j1OPPHEGD9+fFx33XXRqFGjXOYEAAAAAAAAgOoqLy+P7t27x7vvvrvQfb755pvYeuut484774yIiF122SUaNGgQ9957b3To0CG+++67hX62uvfF77///ujdu/ePrvUPf/hDnHHGGbHaaqvF8ccfH7vuumu89dZbsddee0X//v2r7HvppZdG165dY8iQIdG+ffvYaqut4tNPP43DDz88/va3v1XZ96GHHoouXbrE5MmT47DDDouuXbvG+PHj46STTorjjz/+R9f0v1ao4sQ//vGPuP/++6NDhw7x7rvvxlVXXRUDBw6MbbfdNnr27Blz5sz5RfM/9NBD8cADD8RvfvObOPDAA3NaNQAAAAAAAABUz8SJE2PPPfeMxx577Ef3O/3002P06NHx5z//OUaNGhVPPfVUDB8+PDp16hQjRoyI22+/fYGfq+598euuuy4OOeSQSCktdJ9hw4bFDTfcECeccEIMGDAgrrrqqujfv3+89957UadOnTjnnHMq9x06dGicd9550aZNm/jggw9i4MCB8fLLL8fTTz8dJSUlcd5551U+SSKlFKecckq0a9cu3nnnnfjrX/8affv2jU8//TQ22WSTuP3222PEiBE/+vP5oRWqOHHDDTdExPf/BdWqVSsiIkpLS+Pcc8+NUaNGxfPPP/+z554wYUL06tUr6tevHzfeeGMu6wUAAAAAAACARbHVVlvFwIED47rrrlvoPpMmTYqHH344DjzwwDjvvPOirKwsIiJq1aoVf/zjHyMiYvDgwfN9rrr3xfv06RMnn3xyHH744bHddtstdL/BgwdHSin22muvKtvXXXfd2HDDDePzzz+PWbNmRUTEXXfdFRUVFfHwww/H+uuvX7nvrrvuGptvvnlMmDAhPvvss4iIGDt2bIwePTp23XXXqFGjRuW+tWvXjs6dO0dKKYYNG7bQdf2vFaY4MWPGjHjrrbdi7bXXjk033bTK2I477hg1a9aMZ5999mfP/7vf/S6++eabuOiii6Jly5a/cLUAAAAAAAAAsOgaN24cb775Zuy9994L3WellVaKSZMmxV133TXf2Ny5cyMiqhQO5qnuffFvvvkmbrvttrj99tsXOM889evXj4iI//znP1W2T5s2LYYPHx5rrLFG5UMRLr744pg8eXK0bdv2J9dct27dyLJsvnkjIoYMGRIREWuvvfZC1/W/yqq95zJu3LhxUV5eHu3bt59vrGbNmtGyZcsYPnz4z5r78ccfj3/+85/RqFGjmDp1apxyyinRvHnz6N69e6yxxhq/dOkAAAAAAAAAUC2DBg2K0tLSyqcvLExpaWnUqVNnvu2PP/54RETssMMO822v7n3xa665JkpLS39yrTvuuGOsttpqcckll8R6660XnTt3jrFjx8app54akyZNilNPPbXK/vOKFj/0xRdfxHvvvRctW7aMFi1aREREw4YNY6+99oonnngiLrvssujZs2dUVFTEzTffHM8++2x06tQp2rRp85Prm2eFKU5MmTIlIiJWXXXVBY43btw4vvjii0Wed9asWXHyySdHRMTkyZPjvPPOqxy76KKL4rbbbvvR97oAAAAAAAAAQF6qU1hYmBEjRkS/fv1i1VVXjW7dulVuX9T74tVdQ/369eO5556LPfbYI/bbb7/K7WVlZXHZZZfFGWec8ZNzXHjhhZFSipNPPjmyLKvcfvfdd8eBBx4YZ511Vpx11lmV27t16xZ9+/at1vrmWWFe1THvv5i6desucLxWrVoxffr0RZ73tttui5EjR0aWZXHhhRfGsGHDYujQoXHZZZfFnDlz4tBDD43333//F60dAAAAAAAAABanlFL07NkzZs2aFVdccUWVp1Eszvvid9xxR4wePToiItZYY42oV69ezJ07N/7xj3/E22+//aOfff755+O2226L9ddfP373u99VGRswYEAMGjQoIiKaNm0aK6+8ckREvPDCC/HII48s0hpXmOLEvEd2zJo1a4Hjs2fPjtmzZy/yvA899FBERPzhD3+Ic889N9Zdd91o3bp1nHnmmXHxxRfH7Nmz44477vj5CwcAAAAAAACAxaxPnz7xwgsvxL777huHH354lbHFdV/83nvvjWuuuSZ22mmnGDVqVHz55Zfx7bffxvXXXx8ffvhh7LrrrjF58uQFfvabb76Jww47LMrKyqJfv35Rs2bNyrGRI0dGjx49okmTJvHqq6/GuHHjYsKECTFgwIBIKUWPHj3ipZdeqvY6V5jixOqrrx6lpaUxYsSIBY6PHTs2GjduvMjzznu9x1FHHTXf2K677hoREZ988skizwsAAAAAAAAAS8IzzzwT559/fqy11loLLEAsrvvid955Z5SUlMT9998fLVu2jIiImjVrxu9+97s45ZRTYuLEifHYY4/N97m5c+fGwQcfHF999VVcccUVseWWW1YZv/fee2PmzJlx7bXXxvbbb1+5fZdddok77rgjUkpx9913V3udK0xxoqysLNq2bRuDBw+OlFKVsTFjxsSoUaNitdVWW+R5GzZsGBER66677nxjc+bMiYio0mwBAAAAAAAAgGXFJ598Et26dYvatWvHI488ssAHDiyu++Kff/55rLLKKtG0adP5xtq1axcR/y1t/NBJJ50UL774YhxyyCHxhz/8YYHzRkRstNFGizTvwqwwxYmIiC5dusTYsWMrHyMyz1133RUREZ06dVrkOTfbbLOIiBg1atR8Y++9915ERGy88caLPC8AAAAAAAAALE5fffVV7LHHHjFp0qS46667YtNNN13gfovrvvgqq6wS48aNW+DrOAYPHhwRMV+p4tJLL42bbropttxyy7jtttsWOm9ExNChQ6s9749ZoYoTxx57bDRo0CB69eoVgwYNioiIp556Ki655JKoX79+HHjggYs85yGHHBIREWeffXZlkyYi4uuvv44LL7wwSkpKonv37vkcAAAAAAAAAADkYPz48bHzzjvHyJEj4+KLL44DDjhgofsurvvim2yySZSXl8cpp5wSU6ZMiYiI8vLyuOeee+Kmm26KsrKyyleBRERcf/31cfbZZ0fLli3jsccei9q1ay903oiI888/v0rZ4/XXX49TTjklIiL22muvaq+zbJGPbBnWvHnz6N+/f3Tv3j222267aNiwYUyZMiVKS0vjzjvvjDXWWCMiIiZNmhRXXXVVNG7cOE499dQfnXPHHXeME044IW666abYeOONo1OnTjF16tR47LHHYtKkSXH22WfHBhtssCQODwAAAAAAAACq5ayzzopPPvkkmjRpEtOnT4/evXtXGf/h/fLFdV/89NNPj/vvvz/uvPPO6N+/fzRp0iS+/fbbmD17dkREnHfeedGqVauIiPjss88q17P55pvHDTfcMN98v/3tb2OzzTaLLl26RIcOHeKVV16JtddeO5o1axYzZsyIqVOnVh5P165dq73OFao4ERGxzz77xJAhQ+Lyyy+PIUOGRIsWLeLMM8+MzTffvHKfSZMmRZ8+faJVq1Y/WZyIiPjb3/4WHTt2jFtuuSXuv//+mDZtWrRu3Touv/zyOOaYYxbn4QAAAAAAAADAInvppZciImLChAnRp0+f+cb/93754rgv3rJly3j77bejT58+8fTTT8dXX30VZWVlsfHGG8dxxx0XPXv2rNz3tddeq3zaxSOPPBKPPPLIfPO1bt06NttssygrK4sBAwbE1VdfHffdd18MGzYsysvLo3Xr1nHAAQfEueeeGyUl1X8BxwpXnIiIWGeddaJv374LHV9rrbUipbRIcx588MFx8MEH/9KlAQAAAAAAAMAv9lP3vT/99NNFnvPn3Bd/8cUXf3R8zTXXjJtuuukn5+nevfsivQ6kdu3acc4558Q555xT7c8sTPUrFgAAAAAAAAAAKxjFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsBQnAAAAAAAAAIDCUpwAAAAAAAAAAApLcQIAAAAAAAAAKCzFCQAAAAAAAACgsFa44sScOXPiyiuvjPXXXz/q1KkTm222WTz99NO5fo+UUnTq1CnWWmutXOcFAAAAAAAAgJ/y4YcfRpcu/x97dx6mU/3/cfx95p4FM2MbDImxl6UilaiQrUIoZd/JUuqbJUpk30KbFlpQtlKkXZQokYjsIftuyFjHMjOv3x+u+/zmNpPQaGrO83FdrnLOuT9zjvlc55z7fF7n/alv+fPntyxZsliJEiWsR48eFhcXd9HPnT592kqVKmVVq1a96HadOnW66Hj4mTNnbMiQIVaiRAkLCQmxLFmyWJUqVWzp0qUXbXfatGnmOI5t37491fWJiYk2btw4q1SpkoWHh1vOnDmtUaNGtnbt2ou2+3dlqOCEJGvRooX16tXLfD6fPfbYYxYWFmZ169a1b775Js1+zmuvvWbz589Ps/YAAAAAAAAAAAAAALgUW7ZssTvvvNN++uknq1u3rj3yyCOWLVs2e+GFF+yuu+6y06dP/+ln+/btaxs2bLho+6NHj7Y333zzT9dLsgYNGli/fv1s//79VqVKFStatKh9//33VqVKFVuxYkWqn1u0aJG1a9fuT9tNSkqyBx54wLp06WLx8fHWtWtXu++++2z27Nl222232dy5cy+6339H8FVrOR1MmzbNZsyYYXfddZfNmzfPwsLCLDEx0apWrWodOnSwzZs3W0hIyN/6GVu2bLHevXun0R4DAAAAAAAAAAAAAHDpBgwYYPHx8bZy5UqLiYlxl3fq1MnefPNNmz59urVt2zbF53788Ud78cUX/7TdpKQk69Onj40cOfKiP3/SpEk2Z84cq1+/vk2cONFy5MhhZmb9+vWzIUOG2ODBg+3jjz8O+MyHH35obdq0sTNnzvxpu2+++aZ99tln1rx5c3vvvfcsKOh8HYiuXbta1apVrXnz5rZjxw7LkiXLRffvSmSoihOvvvqqmZm98sorFhYWZmZmPp/P+vXrZzt27PjbVSKSkpKsTZs2dvbsWbvmmmv+9v4CAAAAAAAAAAAAAHA5li1bZmXKlAkITZiZ3X///WZmtnnz5hSfOXXqlLVp08YiIyMte/bsqbbbqVMnGzlypPXr1y9F28m98847VqBAAfvggw/c0ISZ2dNPP21mZsuXLw/YfsqUKdaoUSOrWrWqNWzY8E/bffvtty0oKMhGjx7thibMzCpWrGi1a9e2Q4cO2eLFi//0839HhglOxMfH27Jly6xw4cJWtmzZgHVVq1a10NBQmzdv3t/6GS+88IItWrTInnvuOStevPjfagsAAAAAAAAAAAAAgMsVERFh27Zts/j4+IDlq1evNjOzwoULp/hMr1697Pfff7exY8datmzZUm33xIkT9sknn9igQYMu+vMXLVpk69evd4sZ+CUmJpqZpZgFYvfu3TZs2DD79NNPLSIi4k/bXbdunRUoUMDy5s2bYl2uXLnMzCw2Nvai+3alMkxwIjY21hITE+3mm29OsS40NNQKFixoW7ZsueL2N2zYYP369bMKFSpYnz59/s6uAgAAAAAAAAAAAABwRZo2bWqHDx+21q1b2/bt2+3YsWP24Ycf2ogRIyxPnjz24IMPBmw/f/58e/31161hw4bWsmXLP213ypQpVq9evUvah9QCEJ999pmZmd15550By5966il75plnzOfzXbTN4OBgi4uLs4SEhBTr1q1bZ2ZmBQsWvKT9u1wZJjhx7NgxMzOLjo5OdX2OHDls9+7dV9R2YmKitW7d2oKCgmzy5Ml/+QsFAAAAAAAAAAAAAOBq6N69u/Xs2dM+/PBDK1y4sGXLls0aNWpkJUqUsO+//96ioqLcbY8fP27t2rWz6OhoGz9+/EXb/Tvj4OfOnbNhw4aZ4zj2v//974raLVmypB09etTeeuutgOWffPKJLVmyxHLnzm233nrrFe/jxWSY4IT/HztLliyprg8LC7NTp05dUdsjRoywZcuW2ejRo5miAwAAAAAAAAAAAACQbtatW2cffvihmZ2v/JA3b15zHMfWr19vb731liUlJbnbdu/e3Xbs2GHvvPNOQKAirQ0dOtTWr19vbdq0sfLly19RG7179zYzs8cff9y6dOliEydOtCeeeMKaNGliZmYdOnSw0NDQNNvn5DJMcMJfCuTMmTOprj979qydPXv2sttdvXq1DRo0yO69917r0qXL39pHAAAAAAAAAAAAAACulCR7+OGHbe/evTZp0iSLi4uzffv22YYNG6xs2bI2ZswYGzJkiJmZzZkzx95++23r3Lmz1a5d+6rt08KFC23IkCEWExNjL7744hW307BhQ5s4caLlyJHDxo0bZ+3atbOxY8fa6dOnLTIy0rp3756Gex0owwQn8uXLZz6fz7Zu3Zrq+gMHDliOHDkuq81z585Z69atLTIy0iZMmJAWuwkAAAAAAAAAAAAAwBVZsmSJ/fbbb9alSxdr3bq1OzPDddddZ59//rllypTJ3n33XYuLi7MOHTpYsWLFbPTo0Vdtf/bs2WONGzc2n89nM2bMsGzZsv2t9tq0aWN79uyxpUuX2tdff+1Wr3jmmWcsV65cabHLqQq+ai3/w4KDg61MmTK2fPlyk2SO47jr9u/fbzt27LAbb7zxstp888037ddff7U777zTXnvttYB127Zts6NHj1rfvn0tR44c1qNHjzQ5DgAAAAAAAAAAAAAAUrNz504zMytVqlSKdTlz5rRrrrnGdu/ebUOHDrU9e/ZY3bp1bfjw4QHbxcXF2bZt26xv375WuHBha9++/RXty6lTp6xBgwZ24MABe/PNN+222267onYuFBoaarfddputXLnSVqxYYTExMdatW7c0afvPZJjghJlZ/fr1bdCgQTZz5kx76KGH3OXvvvuumZlVr179stqLjY01M7NFixbZokWLUt1m6NChFhMTQ3ACAAAAAAAAAAAAAHBV5cmTx8zMNm/enGJdbGys7dixw6Kjo92x7s8//9w+//zzFNsePXrUhg4dalWqVLmi4MS5c+escePGtnz5cnv88cftkUceuew2/sqAAQNMko0ZM8YyZcqU5u0nl2Gm6jAz69ixo0VGRtqjjz5qS5YsMTOzr776yoYNG2YRERH28MMPX1Z7/l9Ean+qVKliMTExJsm2b99+FY4GAAAAAAAAAAAAAID/V7p0afP5fPbOO+/YDz/84C7fsWOHtWjRwhITE61OnTo2adKkPx3rjomJsSpVqpgkW7BgwWXvgyRr1qyZff7553bffffZiy++mIZHeN6iRYvs008/tWrVqlnDhg3TvP0LZaiKE/nz57cpU6ZYs2bNrFKlSpY1a1Y7duyY+Xw+mzhxol1zzTVmdr70yOjRo5liAwAAAAAAAAAAAADwnxEdHW1PPfWUjRgxwipXrmzZs2e34OBgO3TokLt+4MCBV3Ufpk2bZh999JE5jmPFixe3/v37p9imZ8+elj179itqX5J169bNQkJCbOzYsX9zby9NhgpOmJnVq1fPVq9ebSNHjrTVq1dbgQIFrHfv3la+fHl3m7i4OKbYAAAAAAAAAAAAAAD85wwfPtxuuOEGGzdunK1atcri4uIsX758VqNGDRs0aJDly5fvqv78hQsXmtn5gMMrr7yS6jYdOnS44uDEe++9Z8uXL7cePXpYqVKlrnQ3L0uGC06YmRUpUsTGjx//p+sLFSpkkv7Wz7iSkiUAAAAAAAAAAAAAAPxdzZo1s2bNml3RZ7dv3/63tnnzzTftzTffvKKfPWnSJJs0adJFt2ndurW1bt36itq/UkH/6E8DAAAAAAAAAAAAAAD4FyE4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADwrwwUnzp07Z6NGjbLrrrvOMmfObOXKlbM5c+b8rTaPHj1qPXr0sEKFCllwcLBFRERY3bp1bePGjWm01wAAAAAAAAAAAAAAXL5Dhw5ZdHS0tWnTJmD5vn37rF27dpY/f34LDg62bNmyWbNmzWzv3r2ptvPJJ59YhQoVLCIiwmJiYmzMmDF/+bNPnz5t119/vYWHh9u2bdtS3WbNmjV2//33W1RUlOXMmdM6d+5sx48fT7FdYmKijRs3zipVqmTh4eGWM2dOa9Soka1du/av/xH+pgwVnJBkLVq0sF69epnP57PHHnvMwsLCrG7duvbNN99cUZvx8fFWtWpVe+GFF+zEiRNWvXp1y5s3r33xxRdWsWJF2717dxofBQAAAAAAAAAAAAAAl6ZLly528ODBgGUHDx60ChUq2MSJE83MrGbNmhYZGWnTp0+3u+66y06cOBGw/euvv24NGjSwLVu2WNu2be3WW2+1nj17Wv/+/S/6s5977jnbuHGjDRgwwAoXLpxi/c8//2yVKlWyOXPmWO3ata1Ro0Y2efJkq1evnklyt0tKSrIHHnjAunTpYvHx8da1a1e77777bPbs2XbbbbfZ3Llzr/Sf55JkqODEtGnTbMaMGXbXXXfZypUrbfTo0fbjjz9axYoVrUOHDnbu3LnLbnPEiBH266+/WqdOnWzXrl329ddf26ZNm6xVq1Z25MiRS0rZAAAAAAAAAAAAAACQ1qZPn24fffRRiuVPPfWU7dq1ywYOHGg7duywr776yrZs2WLVq1e3rVu32jvvvONuu3XrVuvevbvlzp3bfvnlFxs7dqx99NFH9vTTT9uwYcNs3bp1qf7sn3/+2V544QUrW7asdevWLcX6hIQEa9OmjZ08edJmz55tkydPtnHjxtmsWbNswYIF9tZbb7nbvvnmm/bZZ59Z8+bN7ZdffrGRI0fa1KlTbeHChZaYmGjNmze3U6dOpcG/WOoyVHDi1VdfNTOzV155xcLCwszMzOfzWb9+/WzHjh02f/78y2ovMTHRJk2aZLfddpuNGzfOMmfObGZmQUFB1rt3bzMzW758eRoeAQAAAAAAAAAAAAAAf23//v3WtWtXi4mJCVgeFxdns2bNsocfftiee+45Cw4ONjOzsLAw6969u5kFjnO/9dZbdubMGevTp09AW7169bLQ0FCbMmVKip995swZa9u2rUmyN9980/0ZyX377be2YcMGq1evntWpU8ddfs8991jFihXdahhmZm+//bYFBQXZ6NGjLSjo/2MMFStWtNq1a9uhQ4ds8eLFl/tPdMkyTHAiPj7eli1bZoULF7ayZcsGrKtataqFhobavHnzLqtNn89n27dvTzVwkZCQYGZmISEhV7zPAAAAAAAAAAAAAABciY4dO1pcXJy9++67AcuzZ8+e6nKz1Me5v//+ezMze/DBBwO2zZEjh916662pjrMPGDDA1q9fb48//rjdeuutqe7fn7VrZlarVi1bunSpHTt2zMzM1q1bZwUKFLC8efOm2DZXrlxmZhYbG5vqz0kLGSY4ERsba4mJiXbzzTenWBcaGmoFCxa0LVu2XHa7juNYeHh4iuWfffaZmZndeeedl7+zAAAAAAAAAAAAAABcoYkTJ9pnn31m3bp1sypVqqRY7/P53BkVkkttnHvfvn2WM2dOK1iwYIrtixcvnmKcfeXKlTZq1CgLCQmxbNmyWbdu3Wzo0KG2efPmgO327dtnZpbqGH7x4sVNkm3bts3MzIKDgy0uLs4NdiTnnyoktf1LKxkmOOFPokRHR6e6PkeOHLZ79+40+VlxcXH2yiuvWKZMmaxz585p0iYAAAAAAAAAAAAAAH9l165d1q1bNytTpowNHTr0kj+3detWmzx5skVHR1vTpk3d5ceOHUu10oPZ+XH2uLg4O3nypLusa9eulpiYaOfOnbNBgwbZSy+9ZH379rUyZcrY2LFjA9o1S30MP0eOHGZm7hh+yZIl7ejRo/bWW28FbPfJJ5/YkiVLLHfu3H9a2SItZJjghM/nMzOzLFmypLo+LCzMTp06lSY/68knn7SDBw/aM888Y9dcc02atAkAAAAAAAAAAAAAwF9p3769xcfH25QpUywsLOySPiPJOnToYGfOnLHnn38+oBqFz+e76Di7mblj7V988YUtXrzYzMwef/xxW79+vW3bts3eeOMNi4yMtCeeeMK+/vprt12z1MfwL2y3d+/ebptdunSxiRMn2hNPPGFNmjQxM7MOHTpYaGjoJR3rlQi+ai3/wyIiIszM7MyZM6muP3v2rJ09e/Zv/5wpU6bYu+++a7fccos988wzf7s9AAAAAAAAAAAAAAAuxbhx42zevHk2YsQIu+mmmy75c0OHDrXvvvvOGjRoYK1atQpYFxERcdFx9uT/nTlzppmZPfDAA/bKK6+423Xu3Nny5MljDRs2tHHjxtk999wTMIYfHh5+0XYbNmxoEydOtKeeesrGjRtn48aNc7eNjIy07t27X/KxXokMU3EiX7585vP5bOvWramuP3DggFvu40qtXr3aOnXqZNmzZ7cZM2ZYSEjI32oPAAAAAAAAAAAAAIBLsW3bNnvqqafszjvvtKeeeuqSP/f1119b//79rVChQjZhwoQU66+99lrbtm1bqp89cOCAmaWcWqNdu3Yptq1Vq5aZmW3cuNFt18xSHcO/sF0zszZt2tiePXts6dKl9vXXX1v58uXNzOyZZ56xXLlyXcKRXrkMU3EiODjYypQpY8uXLzdJ5jiOu27//v22Y8cOu/HGG6+4/YMHD1r9+vXtzJkzNnPmTCtcuHBa7DYAAAAAAAAAAAAAAH+pV69eduLECYuJibHnnnsuxfqVK1da37597eabb7YHH3zQzM6HGJo2bWqZMmWyjz/+ONViA+XKlbPvv//e1q9fb6VKlQpYt2TJEouMjHSn28iaNauZmRUtWjRFO+fOnTMzc6fUKFeunJmZ/fzzz3bLLbekaNfMLG/evAHLQ0ND7bbbbrOVK1faihUrLCYmxrp16/YX/zJ/X4apOGFmVr9+fTtw4IBbHsTv3XffNTOz6tWrX1G7x48ftzp16tj27dvt+eeft3vvvfdv7ysAAAAAAAAAAAAAAJcqNjbWzMymTp1qQ4cODfhjdn4GhaFDh9qnn35qZmZ79+61++67z+Li4uzdd9+1smXLptpu/fr1zczs9ddfD1i+dOlS27RpU8A4uz8MsWPHjhTt/Prrr2ZmbkGD6tWrW3h4uL355puWmJjobnfixAn7+OOPLSoq6k+nGxkwYIBJsjFjxlimTJku+u+SFjJUcKJjx44WGRlpjz76qJtQ+eqrr2zYsGEWERFhDz/88GW3efr0abvvvvts+fLl9sgjj1z1uVMAAAAAAAAAAAAAALjQggULTFKqf8zMWrdubZJs0qRJdujQIatWrZpt27bNhgwZYg899NCftnv33Xdb+fLl7Y033rC33nrLJNnmzZvd6Tjatm3rbtuoUSMLDg62gQMH2okTJ9zlR48etd69e5uZWYsWLczMLDIy0jp16mSrVq2yLl262KlTp+z48ePWunVri42NtVatWpnP50uxP4sWLbJPP/3UqlWrZg0bNvz7/3CXIMNM1WFmlj9/fpsyZYo1a9bMKlWqZFmzZrVjx46Zz+eziRMn2jXXXGNmZnFxcTZ69GjLkSOH9ejR46Jtjhkzxn788UfLlCmT5cyZ0/r27ZtimyFDhlyV4wEAAAAAAAAAAAAA4HI988wztnHjRouKirJTp06lGOe+cKz8gw8+sOrVq1vHjh2te/fudurUKUtKSrKOHTtavXr13O2KFy9uQ4cOtd69e1vp0qXtvvvus8TERPvyyy9t79691qxZM6tVq5a7/bBhw2z16tX21ltv2XvvvWeS7OzZs1a2bNlUx9klWbdu3SwkJMTGjh17Ff5lUpehghNmZvXq1bPVq1fbyJEjbfXq1VagQAHr3bu3lS9f3t0mLi7Ohg4dajExMX8ZnFi4cKGZna88MXLkyFS3ITgBAAAAAAAAAAAAAPi38I9zHz582J3KI7kLx8qLFi1qa9eutVGjRtn8+fMtPDzc2rZta40bN07x2V69elnZsmVt7Nix9sknn1hcXJzFxMTY8OHDU8zgEBYWZnPnzrUJEybYBx98YPHx8Va7dm3r0aOHhYaGpmj7vffes+XLl1uPHj2sVKlSf/ef4ZJluOCEmVmRIkVs/Pjxf7q+UKFCbrmSvzJ37ty02i0AAAAAAAAAAAAAANLchePfmzZtuuw2IiIibODAgTZw4MC/3LZWrVoBlSUuxnEca9++vbVv3/4vt23durW1bt36ktpNS0H/+E8EAAAAAAAAAAAAAAD4lyA4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAAAAAAAAAAAAAAPAsghMAAAAAAAAAAAAAAMCzCE4AAAAAAAAAAAAAAADPIjgBAAAAAAAAAAAAAAA8i+AEAAAAAAAAAAAAAADwLIITAAAAAAAAAAAAAADAswhOAAAAAAAAAAAAAAAAzyI4AQAAAAAAAAAAAAAAPIvgBAAAAAAAAAAAAAAA8CyCEwAAAAAAAAAAAAAAwLMITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADwrwwUnzp07Z6NGjbLrrrvOMmfObOXKlbM5c+b87XY/+eQTq1ChgkVERFhMTIyNGTMmDfYWAAAAAAAAAAAAAIDLc7XGxb0qQwUnJFmLFi2sV69e5vP57LHHHrOwsDCrW7euffPNN1fc7uuvv24NGjSwLVu2WNu2be3WW2+1nj17Wv/+/dNw7wEAAAAAAAAAAAAAuLirNS7uZcHpvQNpadq0aTZjxgy76667bN68eRYWFmaJiYlWtWpV69Chg23evNlCQkIuq82tW7da9+7dLXfu3LZs2TKLiYkxM7NnnnnGhg0bZo0aNbLSpUtfjcMBAAAAAAAAAAAAACDA1RgX97oMVXHi1VdfNTOzV155xcLCwszMzOfzWb9+/WzHjh02f/78y27zrbfesjNnzlifPn3c0ISZWa9evSw0NNSmTJmSNjsPAAAAAAAAAAAAAMBfuBrj4l6XYYIT8fHxtmzZMitcuLCVLVs2YF3VqlUtNDTU5s2bd9ntfv/992Zm9uCDDwYsz5Ejh916661X1CYAAAAAAAAAAAAAAJfrao2Le12GCU7ExsZaYmKi3XzzzSnWhYaGWsGCBW3Lli2X3e6+ffssZ86cVrBgwRTrihcvfkVtAgAAAAAAAAAAAABwua7WuLjXZZjgxLFjx8zMLDo6OtX1OXLksN27d19Ru3nz5v3TNuPi4uzkyZOX3S4AAAAAAAAAAAAAAJfjao2Le50jSem9E2lhw4YNVqpUKevZs6eNGjUqxfq77rrL/vjjD1u3bt1ltRsdHW0FCxa0ZcuWpVjXr18/GzJkiB08eNBy5859xfsOAAAAAAAAAAAAAMBfuVrj4l6XYSpOREREmJnZmTNnUl1/9uxZO3v27BW1e7E2k/8XAAAAAAAAAAAAAICr5WqNi3tdhglO5MuXz3w+n23dujXV9QcOHLAcOXJcdrvXXnutbdu27U/bNLMrahcAAAAAAAAAAAAAgMtxtcbFvS7DBCeCg4OtTJkytnz5crtw9pH9+/fbjh07LG/evJfdbrly5ezEiRO2fv36FOuWLFlikZGRliVLlivebwAAAAAAAAAAAAAALsXVGhf3ugwTnDAzq1+/vh04cMBmzpwZsPzdd981M7Pq1atfUZtmZq+//nrA8qVLl9qmTZuuqE0AAAAAAAAAAAAAAK7E1RgX9zpHF8ZQ/sP27NljJUuWtEyZMtknn3xiFStWtK+++sqaNGliSUlJtnHjRrvmmmsuu91bbrnFVq5caePGjbMOHTrY77//bg0aNLD169fbJ598YvXq1bsKRwMAAAAAAAAAAAAAQKCrNS7uZRkqOGFm9umnn1qzZs3s5MmTljVrVjt27Jj5fD6bOHGitWzZ0szM4uLibPTo0ZYjRw7r0aPHX7a5ZcsWq169uu3YscMiIiLs1KlTlpSUZB07drTx48df7UMCAAAAAAAAAAAAAMB1KePiuHQZLjhhZrZ161YbOXKkrV692goUKGC9e/e28uXLu+u3b99uhQsXtpiYGNu+ffsltXnixAkbNWqUzZ8/38LDw61t27bWuHHjq3QEAAAAAAAAAAAAAAD8ub8aF8ely5DBCQAAAAAAAAAAAAAAgEsRlN47AAAAAAAAAAAAAAAAkF4ITgAAAAAAAAAAAAAAAM8iOAEAAAAAAAAAAAAAADyL4AQAwHPi4+PTexcAAEgXktJ7FwAAAAAAVwHf95DW6FPwGoITAABPOXjwoA0bNsw+/fRTM+PmD2nrzJkz6b0LAJDCmTNn3POT4zhmxvUPAAAAADKSpKQk9/ve6tWr03lvkBHQp+BFBCeQ5hITE9N7F5DBJSUlpfcu4D/swIED9u2331qDBg1s9uzZ5jgOg0dIE3v37rXRo0fbN998k967AgCuzZs3W8WKFa1q1aq2atUq27hxo+3fv999+AEA/yZ81wMAALh8SUlJFhR0frjv7rvvtq5du9rPP/+cznuF/zL6FLyK4ATSxKFDh+zzzz+3xMRE8/l87nIGI5FWdu/ebYsXLzYzcy/YwJW44YYbrEePHlaqVCl78MEHCU/giiXvM4cOHbKJEydav3797KeffkrHvUJGsnnzZlu5cmV67wb+wxISEixfvnxWu3ZtK1KkiC1evNj+97//WY0aNezo0aPpvXsAECAxMdH9rtejRw+bMGFCOu8RMgq+6yGt0aeQ1uhT+DuSD3BXqVLFFi5caEuWLLHhw4fbmjVr0nnv8F9En4KXMfqIv02SLViwwNq1a2e1atWytWvX2uHDh83s/0sBJyQk8OYIrlhsbKyNGzfO7rzzTjc8AVyJhIQEMzNr2LChDRkyhPAErtju3bttzpw5ZmZ27Ngxe+ONN6xfv3727LPPWt++fd3t6FO4UitWrLD777/fPvnkEzOjL+HyTZ8+3e6//347c+aMDRkyxLp27WqLFi2y+fPn28MPP2zZsmVL713Ef9jZs2fTexeQwSQkJLgvYTz++OP24osv2pYtW+zkyZPpvGf4r1u3bp299957Jon7KaQJ+hTSGn0Kf0fyAe477rjD1q1bZ2PGjLFu3brZ559/bgMHDrS1a9em817iv4Q+Ba8LTu8dwH+XJHMcxxzHsapVq1r58uVt8eLFVqlSJStbtqw9+uijVrZsWbv++ustOJiuhkv3xx9/mOM4liNHDjt06JCNHz/ehg8fbk899ZRVqlQpvXcP/1GJiYkWHBxsx48ft8jISGvQoIFJsn79+tmDDz5os2bNcpdRvhwX88cff9jYsWPt+++/t9jYWNuxY4f179/fnn32WRs8eLCdOHHCtm/fbmXKlKEv4ZIlr9q1bNkyq1+/vu3fv99mzJhhTzzxhOXMmTOd9xD/JUlJSTZu3Dj74YcfrEWLFta7d29777337LPPPrPhw4dbjx49UmxPRS9cqn379tmmTZusSpUq9B1csZ9//tmmTJlilStXtmLFilnZsmXN7Hxo4rXXXrNnn33WOnfubOHh4dyf47L5+4w/iFqwYEFr3bp1eu8W/sPoU0hr9CmkhQsHuDds2GAvvPCCtWzZ0uLi4szn89no0aPNzGzAgAFWpkyZ9Nxd/AfQpwAzE3AFkpKS3P//448/JEnHjx/XwoUL1aFDB2XKlEmO4ygkJES33HKLHnroIXXt2lW9evXS+vXr02u38R+wc+dO9evXTx9++KFiY2M1aNAgOY6jvn37Sjrf9xISEtJ5L/FfkPw85Xf48GFdc801evLJJ91ls2bNUunSpeU4jj7++OM//Szgd/DgQfXr10+O46hIkSJyHEf9+vWTJMXGxqpWrVqqXbu21q5dm857iv+C48ePa/r06apRo4Z27Nih1atXK3v27GrUqJF69+6tsLCwgHsn//mJ8xT+jL9vJCQk6NFHH1V4eLjy5cuniIgIvfPOO5KktWvXqlKlSnrsscfSc1fxH7R3714NGTJENWrU0PHjx93lhw8f1okTJyRxfsJfS0hI0Msvv6zg4GA5jqPixYvr0KFDeuKJJ9zvfmfOnHH7FHApEhISFBsb6z4v+Omnn5Q7d25FREQoODhY33zzTTrvIf5r6FNIa/QppKXExET3/ytVqqScOXNqwoQJAfdPu3bt0jPPPKPg4GA1bNhQa9asSY9dxX8EfQo4j+AE/pZBgwapdevWKQaHli9frqlTp6p+/fq66aab5DiOHMdRpkyZNG/evHTaW/wXvP/++8qVK5eyZ8+uLl26yHEc9enTR9L5wcqnn36aCzL+UvIbvc2bN7sP8JcvX67o6GhlzpxZgwYNcrchPIHLtWzZMt1xxx3y+Xy66aabJElHjhxRqVKlFBUVJcdx1Lx5c85X+EtJSUnq3r27HMfRgAEDlDNnTjVo0ECnTp3S77//Lsdx9PLLL0uS+4AtNjZWP/zwg/t54EL+vvLrr7+qdOnSCgoKUp48eXTmzBlJ0sqVK+U4jnLmzKn58+en567iXy75PdXBgwc1fPhwRUdHK2fOnG5wYufOnRo4cKB69eqlI0eOSOLchL+2c+dOvf/++3r00UfVt29f1a5d2w2jxsfHa8mSJXrwwQc1Z86c9N5V/AecOXNGkydPVv78+fXuu+9q7dq1ypkzp1q0aKEvv/xSQUFBeuONN9zt/ee2s2fPptcu41+OPoW0Rp9CWvLfa8fHx6tSpUrKkSOHJkyYoJMnT0qS+71Pknbs2MFAN/4SfQr4fwQn8Lc8/vjjchxHY8eOlSSdPn1aUuCJdtWqVXrggQfUunVrffvtt+7DNODPPPLII27Ypnv37pKkAwcOqHz58nIcR1WrVtWuXbvSeS/xb5X8AX/9+vV1zz33aPXq1e556eeff1aFChUUFhamgQMHutsSnsClOnjwoEaMGCHHcVSiRAk5jqOOHTuqdOnSuvPOOyVJ48ePl8/n0yOPPKJ169al8x7j32737t2Kjo6W4zh65JFHdOzYMUnnq3plz55dzzzzjKTz1Sn8oZ1y5coFfHEFLvTrr7+qdevWioyMVMOGDXXttdcqf/78buD5448/VnBwsDp06CCJax5S2rp1q3755RdJ5699gwcPls/nU0xMjDJlyqRFixbp8OHD7r175syZ9cILL7jnMPoULtVDDz2kTJky6bnnntPevXt18uRJNWjQQI7juJXi6E/4K3PnzpXjOKpfv76yZcumBg0a6NChQ0pISND111+v+vXrKzEx0f2+uH//fr333nvpvNf4N6NPIa3Rp5CWjh49qhtvvFHZsmXTG2+84VYFOHXqlL799ltNnTrV3ZaBblwK+hRwHsEJXJajR4/q3Llz7t+3bdumEiVKuANFUuADjd9++00PPPCAHMdR9erVtWTJklS3A/zi4+M1YMAA+Xw+OY6jatWq6ffff9cNN9ygSpUqaerUqcqdO7dq166tHTt2pPfu4l8meWji4YcfdgM49913n9atW+eed5YuXarbbrtNoaGhhCfwl5L3gX379mnw4MFyHEdDhgxRbGysbr31Vref+TVr1kwhISFyHEdNmzblCwRS8PerxMREHTt2THfffbeyZMmifv36afny5dq/f7927typKlWqqEGDBho9erTq1Kmj4OBglSxZUjVr1kznI8C/2Zo1a9S8eXNlzZpVL730kqTzVb1uvPFG5ciRQwsWLJAk9e/fP+CaB/jt3r1b1113nR588EFt2LBBAwYMkOM4Gj58uH7++Wc5jqM33nhDjz/+uMLCwvTGG2+oYsWKypo1K+EJpOrcuXNuf0j+TME/PYc/NOE3bdo0RUZGKigoyK2yBPyVevXqyXEctWjRIuAt7dq1a+vWW2+VdP5+/osvvtD1118vx3H0ww8/cK7Cn6JPIa3Rp5AWEhMTNWHCBBUtWlQjR450K8GdPn1aX3zxhcqVK6ccOXK4UzVKDHTj4uhTwP8jOIFLtmrVKjVs2NAt55uYmKj4+Hh16NBBjuPoyy+/DLiJ27x5s+655x5FRUXpscceU1hYmOrWravVq1en1yHgX+7gwYMaOHCgHMfRM888o2bNmrkD33fddZe7XYUKFdxQBZUn4Jc8NNGwYUOFh4erc+fOGjp0qCIiInTvvfdq/fr17naEJ3Ap9u7dq9dee01PPfWUtm3b5oYmnn32WUnn+13evHlVr1499zONGjVS7ty5tXfvXk2aNElBQUHq2LFjwLRW9Cnv2rdvn+Li4iT9/3QKkjRu3Dj3mpcvXz5lzpxZ+fLlk+M4ioiIUNasWXXLLbfogw8+0JgxY/Twww9r/fr16XUY+Bf79ddf9fDDDytLlix6/vnn3eUzZszQ1KlTVa1aNUVGRmrq1KlavHixqlWrpnLlymnLli3puNf4tzlx4oTKlSunQoUKadCgQfL5fO61b8+ePQoPD1dYWJhCQ0P10UcfSTpfoaJ8+fKKjIzUiBEj9Mcff6TnIeBfZPPmzZowYYKWLVsWsLxr167u9Bz79++XFHhP7w/sVK9eXbt37/5H9xn/Hcnvq/2BwEqVKumNN97QjBkz9NNPP6lJkyYqU6aMmjdvrhtvvFGO46hGjRp64IEHCHohBfoU0hp9CmnBX+nbf68UFxenH3/80e0fp0+f1pdffqm8efPqhhtuUObMmXXNNddo0qRJbhsMdCM5+hSQOoITuCQJCQl6++235TiOGjZsGLBu5cqVypw5s/r27esu27Rpk2rWrKkcOXJo7ty5SkxM1EsvvSSfz6cmTZpo06ZN//Qh4F9o7969WrdunXbt2qXjx4+rb9++chxHffr0cdc7jqOHH37Y/UzTpk2VJ08ejRkzRrlz59a9995L5QmkGpp44okndPz4cZ0+fVqvvPKKwsPDVb9+ff3888/uYOWyZcsIT+CiNm7cqGuvvVaO42j69Olq3769e73bv3+/ypcvrwoVKrjb+0MT27dvlyQNHz7cHQxv0qRJwBeIU6dO/bMHg3S3c+dO3XvvverRo4cOHjzoLk9MTNSPP/6ooKAgvfPOO1q+fLmmTp2qCRMmKCQkRI888oi2bdsmSfrhhx8C+hSBVG/bsGGDO9gonQ8F1q1bV0FBQRo+fLi7vGrVqsqcObNee+01LVy4UE2bNlVoaKj69++vxx57THnz5tWUKVMkne+Pixcv1tChQ91zGbypadOm7vnGH5qQzlcVjIqKUkREhObMmSPp/4Ngu3btUr58+VSgQAE9/vjjbnnX5Lin8pb4+Hg1adJEjuPooYcecpf7p3jp06dPwDVRCqxI0aBBA2XOnDngHJX8vwcOHAj4LgBv2LJlS0AQx38O2rBhg3LmzKmQkBAVK1ZMoaGhypEjhxzHUWhoqEqWLKkWLVpo0aJFevfdd1WqVClNnDjRvS/n/ORd9CmkNfoU0trQoUNVq1YttWzZUgMGDNDChQvddf4B7muuuUaVK1eWdD5QnylTJsXExOjNN990t2WgG370KSB1BCdwyfbs2aMbbrhBUVFR2rJli5KSknTu3DnFxsbq+uuvV7ly5fTHH39o3bp1atKkicLDw7V8+XL38ydPntSIESPk8/nUvn177dmzJx2PBv8G/gHF+vXra/LkyfL5fO487vv27VPZsmUDKk0kf4tbOj9A7jiOatas+aeVJ/hC4S2NGzdWeHi4unfvrgMHDrjLjx07platWslxHLVq1UonTpxw+8by5ctVoUIFhYSEaMCAAe5nPv74Yzc8MWvWLEn0J68aO3asHMfRpEmTAtLYTz/9tBzH0euvv64zZ86oadOmyp07tzvAPXjwYAUFBWnevHn64IMP5DiOHnnkEW3evFnHjx/XoEGDAkrcIeM7d+6c6tat6w4UHTlyRCdOnNBLL72kXbt2KTg4WM8995y7/aeffqpMmTK51Ur8/Wjw4MHq3r27HMdR8+bN+VLqUdu2bVPJkiXVunVr983+0aNHu1MJ+VWqVEklS5ZUhQoVFBUVpddff107d+5Unz59FBwcrHvuuUeO46hChQrude7NN9+U4ziaOHFiehwa0pl/EPqtt96S4zgB4dIdO3a455+aNWumCNeMGjVKQUFBKliwoHr27Okuj4uL07Zt2wJKUsM7li1bpkyZMikqKkqLFy/W6dOndf/996tr167as2ePjh8/rhUrVgRUYjpz5owkacGCBYqJiVHp0qXdII5/3bfffqsaNWrom2+++ecPCukmLi5O9913nypUqKC5c+e6y48fP66TJ08qb9686t27t+Lj47V3716tWbNGJUuWVMOGDd2y0998840bDCtUqJDee+899/zEdz7voU8hrdGnkJaSkpJ08uRJVa9eXWFhYW6/eP311yWdvy/68ssvlS9fPlWuXDngfnvYsGFyHEfFixcP+G7HQLe30aeAiyM4gUvivyHzP7CfNm1awPouXbooKipKX375pR588EE5jqNcuXLpl19+CdjuyJEj6tu3r4KCgtS9e3edPHnyHzsG/PusWrVK+fLlU82aNXXy5El3cPrYsWO65557lC1bNnfbC9/iHjZsmEJCQtS9e3dFR0erZs2a7mDlkSNH9M033/Bg1mP8g9jVqlXTzp07A9Z98MEHKlKkiHLnzq0VK1a4y/19ZN26dW54ol+/fu762bNnq0yZMu50RPCmZcuWKTIyUiVLlnQr3Jw7d05LlizR3XffrezZs6tcuXLKkyeP9u3bJ0kaNGiQgoKC9MUXX0iSvv76azmOo6CgID300EN6+umnlSVLlhRVnJBxJX+4dd9998lxHHXr1s09d/Xt21eNGzfWp59+6r5NNHToUBUtWlTS+WkWHMfRyy+/LEmKjY3VY4895s6Pm/zcxoM0b9i/f79b6rddu3buNW3BggXuNvfcc4+io6MVHx+vU6dOqXLlysqaNaveeOMNSdKUKVN0++23K1u2bHIcRz179tT27ds1c+ZM5c6dW/fcc48SExPpUx41e/ZsOY7jVpXYtWuX2rdvr5CQEN1///0KDg5W27ZttXHjRknSyJEjFRQUFDBAIJ2/Zj733HMKDw/XvHnz/vHjQPryB3GeeuopOY7jTiEUHx/vVsxZvHixcuTIocaNG7uVJfxOnjyp3r17y3EcdenSxa1G8f333ys4OFhFihTR999//w8eEf4Npk+f7pa6X7hwoU6dOqUnnnhCkydPVtmyZVW1alXFxsZKklasWKGsWbO6zxvef/99OY6jF154QfPmzVO+fPlUuHBhTZ48mUFJD6NPIa3Rp5DWDhw4oO3bt2vSpEl66qmnNHv2bCUmJurjjz9WqVKlVLVq1YDtZ8yYoSxZsqhOnTrKlCmT8uXLFzDFwvbt29WnTx+FhISoSZMmVHT2IPoUkDqCE7gsq1atUtasWXX77bcHzKs9dOhQOY6jUqVKKW/evOrQoYNy586tChUq6LfffgtoY+/evfrf//4nx3H0yiuv/NOHgH+RI0eOuFUj/NMhSOenf6lWrZocx9HIkSPVuHHjgNCE/y1u/0PZbt26yXEc1alTR2vWrNHo0aMVExOjqVOnpsdhIZ2sWLFCN998s7Jnz6633nrLfRNt4sSJKlOmjHLnzq0NGza42586dUrt27dXjx49lJCQoDVr1qhcuXJyHEejRo1yt/vwww/lOI5KlizpDorDe1q1aiWfz6dhw4a51UySkpL022+/qU6dOnIcx61YMnz48IDQxOeff66QkBCNHj1a48ePd5Pc7dq1S7fjQfpIHujzX+eCgoLcwNaZM2fcB2C7du3SNddco9dee82dniP5fZN/IOr+++9XpkyZ1KpVK/3000//4NHg3+DAgQMaOnSogoOD1aJFC0nn79ffe+89N7CVP39+ffjhh5Kko0ePqkqVKsqWLZuGDRumc+fOafXq1RoxYoQyZcokx3Hk8/nc81Tbtm3T8/CQzubOnSvHcfTFF1/o8OHDatOmjUJDQ/Xxxx/r7NmzbvCrU6dO6tatW8C1z3+O8t+Pff/993IcJ8WgOLzj008/leM4Cg4OTlEhYu7cuapUqZLCw8Pd73U//PCDDh06JEk6ePCgrrvuOuXIkUNr1qzRDz/8oNDQUJUtW1afffZZehwO/gX8odJbb71V7du3l+M4GjRokF5++WV9/fXXbhD1gw8+UHh4uA4fPqxZs2YFBFHPnTunzz//XAUKFFDx4sU1YcIEBiU9jD6FtEafQlpKPpWZX3x8vO699145jhNQvXLGjBnKlCmT+33up59+UubMmVWwYEG99tpr7nYHDhxQixYt5DiOxo8ff/UPAv8q9CkgdQQncNlatWql4OBgtWrVSqtWrZJ0flDIP9e2/6H94MGD5fP51LlzZx0+fDigjfXr16tIkSLKnDmzWyUA3vTdd9/JcRx17tzZLTMtSb/88osefvhhBQcHKzg4OEXp++RvcYeFhenhhx9Wnjx5VLx4cWXLlk1NmzZNj8NBOtu4caPKlCmjqKgovfHGG3rnnXdUrlw5Zc2aVT179nS/XJ46dUr16tWT4zgKDw9354FfuXKlatWqpffff99t8+OPP1ZQUJBKly4d0EfhDf6S0RMnTpTjOCpatGiK8MT69etVo0YNZcuWTXXq1FFISIj7Rq0/NOHvY6+++qpCQ0P12GOPuT+DebkzpuQPsS78HZ89e9advixLliwaOHCgfvrpJ40dO1aff/65jh8/rpkzZ+q2227TM888407tkfzz0vnyraGhoapQoYIcx1Hjxo0VHx//zxwg0k3yUvbS+QHFwYMHuyUxS5curerVq+vcuXP66KOPlD17dhUsWNCtGHfy5Ellz55dMTEx7ltue/fuVe7cudWwYUONGTNGAwcO1GuvvaZFixb948eHf85fPWxfsGCBHMfRiBEj9MQTTyg0NFSffvqpu95fTdAfuPFXpvCf85K3P2rUKIWFhenrr7++CkeC/4omTZrIcRzlzZtX3377bcC6EydOaNmyZapevbo7rUfr1q3dKpZz585VeHi47rjjDoWEhOjGG290vxNKDB55SfL7qrffftsN+3Xo0CHFtocOHVL58uXVp08fLVy4UEFBQXr11VclBfYZ/8tAZcqU0UsvveSGvuAN9CmkNfoUrqaPP/5YW7dudf++efNmlSxZUlmzZtXAgQM1c+ZMd4A7NjbW7Y9ffPGFHMdR9uzZA6ZXb9OmjRzH0VNPPZXiuya8gT4FBCI4gUvmPyGOGzdOjuMoZ86cat68ubZv366vvvpKjuNozJgxAZ9p3ry5MmfO7D4gS/4wv3Tp0ipbtizTdXhYUlKS9uzZoyJFirhlW/1vFUnS8uXL1bJlSzmOo5deeilFaMI/IDlq1CglJSWpefPmbgjDjwFJ79m0aZPKlCmjzJkzK2fOnMqdO7caNWqk0qVL69lnn9Xu3btVr149Zc6cWUOHDlXDhg0VEhLipvmPHTvmtrV8+XLddttt8vl8bslEZFwXe+C+e/du5c2bV47jqECBAho+fLg74OivPOGffqFTp06Szj/gTx6aeOmll9xBAD/OURlTar9X/5fFgwcPqkuXLgoNDVWVKlWUJUsWFShQQKVLl5bjOLrmmmvUq1cvlS9fXqVKlVK7du3kOI6efPJJbdmyxW1v7ty58vl8GjRokA4fPqzevXtr7dq1/9gxIn189913Gj9+fMC1yu+JJ55QUFCQihUrppkzZ7rLZ82apaxZs6pAgQKaMWOGXn31Vfl8Pn333Xc6efKkO19y+fLldeedd6Y61RkDkhlP8vPU/PnzA8Kh/t/35MmT5TiOKleuLMdx1Lt37xTt9OvXTz6fz50qIbXQxIwZM1S+fHndeuutVO/yKH+/eO211xQUFCTHcZQnTx43bCP9/xtvhw8f1uzZs1W9enU5jqPMmTO757S6deu6Zc8///xz97Oco7zpwIEDGjt2rIKDg+U4jmrXrq3JkyfrgQce0LPPPqu5c+fq559/VpkyZdSxY8cUlZT817v58+crJCRErVq1UubMmVWiRAkC8x5Fn0Jao0/h70jtucIXX3yh8PBwValSxZ3yTJK2bdumG264QSEhIQoLC1P79u0VHx/vtrF792698MILchxHL774ovu5l156SVmzZlVwcLB+//33q35MSF/0KeDSEJzAZdu5c6ciIiLcN4uaNm2q999/Xz169HBLr/oHB/bv369ixYrprrvuCmjj/vvvd+dR5s1Ib7jY4GDXrl3d9PXQoUN15MgRd92KFSvUsGFD9wHbhaGJ5G9x58iRIyC9zYBkxvdnD0l/++03lShRQiEhIfrll1+0ZcsW3XHHHcqSJYvKlCmjTJkyacyYMfrjjz909OhR1a9fX1myZNG7777rlkpMSkrSoUOHNGTIED355JM6ceLEP3lo+Af5H1ZIKd/k9i87ceKEKleurEyZMqlo0aLKlClTivDEunXrVKtWLeXIkUOdOnVSWFiYO+0LoQnvSP57ve+++wJ+50lJSdq7d68KFiyofv36af/+/W5gIiYmRp06ddKwYcO0ePFiTZw4UVu2bNGmTZvUsmVLBQUFqXPnzoqPj9d3330nn8/nTg9z4c9FxuSfeqNu3bras2dPwLrffvtNN9xwg8qUKaPg4GC1b99eJ06ccPvFrFmzFBUVJcdxFBoaqk8++USS9MYbb6hQoULavn27KleurBtvvJFQswckP1906tRJ5cuXT7USxJNPPinHcdSxY0cVKlRI119/vT755BOdPn1a0v9PTfXVV18FtHthaOKmm25SsWLFAqZMQ8b0VwGG/fv3K0+ePPL5fCpevLiio6Pd6ReTkpJS3If1799fRYoU0fLly7V69WqFhISoYsWKmj179iX/TGRMx44dU5cuXeQ4jlq2bKmSJUsqODhY1113nRsWbN26tWrXrq2YmBi9+uqryp07t2666SZ9/vnn7nc+fxB18ODBkqR58+Zp48aN6XloSCf0KaQ1+hSuxK5duwIqal04lcKuXbvUqlUrOY6j6tWrB1T53rZtm2688UY5jqNevXq5y3fv3q3nnntOjuO4/cjvl19+0YABAzR9+vSrdERIb/Qp4PIRnMBlOXfunOLi4lS0aFHVqVNHHTp0kOM4atq0qTtth/T/Dy/OnTunrl27KjQ0VD/++KMk6ffff1enTp1UsWJF7d69O12OA/+cXbt2uf9/4aCO/+8TJkxw53l3HEfPPvus4uLi3O1++eUX9wL++uuvpwhNMCDpHb///rvWrFmj9evX/+W2q1evDvgy+dNPPyl37tzy+Xzq0KFDQDp/8+bN7oC3/0Fs8oewqb19i4xhy5YtypIli0JCQtwBnT+bL7Rr167KnDmzPvvsMzVs2DDV8MRvv/2mWrVqyXEc3X///Tp9+rRee+01zlEekfz3escdd8hxHOXIkSPFW9r79+93Bx5nzJjhvoGUL18+9e/fP0XZ1Y0bN6pdu3YKCgpS3bp1FRoaqiFDhkhiwMgr5syZo6CgIN17771auHChuzwpKUnx8fHq2LGj6tatqw8//FAjRoxQcHCw2rZtGxBGnTp1qnw+n7755htJ56ufFCpUSA888IAkqWzZsrruuusC7sGQ8SQ/Tz311FMqXry4mjRp4l7L/NucOXNGDz30kLJkyaI5c+Zo5syZuvbaa1WsWDF9/vnnGjJkSEAluL8KTVzKvRv+u5KfN/7supSQkKCzZ8+qTp06ypkzp7p166ZrrrlGefLkCQhPJCUlBfTTkydPauXKlQoLC9MNN9xApQm4Hn/8cT399NOSpO7du7vhwMaNG2vkyJHasmWL1q5dq9jYWJ06dUoTJkxQdHS0SpYsqZ9//llz5syRz+fTwIED0/lI8G9Bn0Jao0/hcpw6dUr/+9//FBERoREjRgTcD+3bt88NuO/du1ePPfaYHMdRtWrVAga6t2/frhtuuEEREREaMmSI9u/fryFDhshxHPcZghT40tCpU6d4RpVB0aeAK0NwAikkJibq2LFj2rNnj5YvX65NmzalePOsXr16yp8/vxISEtwbvyZNmui3334LaEc6X1LYcRxNnDgxoA3eZsv4/KWexo8f7y5L7W3uDRs2KDIyUpUrV9ajjz4qx3HUt2/fgAdwK1as0EMPPeRWpiA04U2jR49WWFiYnn32WXfZ8uXL9e233150zrQzZ86oTp06CgoKUo4cOVS4cGF3Whj/223r1q3TzTffrOjoaAaNPGbMmDGKiYlRVFSUex07fvy4Zs+e7ZYel+SmqV944QUdOHBA1atXV+bMmQPCE4mJiVq7dq3q1q2r7Nmzq2HDhsqRIwfnKA9I/nutVKmS8uTJo9GjR6tatWqKiopSnz59Ut32t99+02233aauXbuqZs2achxH/fv3D5i6Sjof8Grfvr0cx9Gtt94aMG0HMjZ/aKJmzZpasmSJuzz5gOGWLVu0dOlSSecHMIcOHarg4GC1a9cuoC/5p0k4ffq0RowYoTx58mjWrFk6ceKEWrRooVatWv1DR4X0kLzPPP300ypWrJgef/xxHThwQJICgjZJSUmaP3++vvvuO0nnv7u9//77KlCggCIjI+Xz+dzKJf57MEIT3jRnzhxVrFhRkyZNcpfFx8cHlPpNbuTIkXIcR0uWLNHs2bOVL1++FOEJf3hHkn744QeFhoaqTJkyAW/LEZqAJLef7N69WzfccIOyZs2qoKAgVa9ePWCuben8/f2UKVOUJ08e5c+fXyEhIerfv78k+hP+H30KaY0+hcvxxRdfKDIyUrly5dKrr74q6fzYSrNmzTR9+nT3RZ/9+/fr8ccfT3Wge9u2bSpTpoz7rP3CqgA8k/IW+hRw+QhOIMDzzz+vSpUqqVixYsqTJ4879+iFD7ueeuopXX/99dq+fbsk6X//+1+q4Qnp/KBm8oHu1N5GQsY0a9YsOY6jokWLutO4SOcfvCYf8Nm1a5fy5MmjkiVLatGiRWrbtm2q4Ql/5Qmfz6cRI0boxRdfJDThEf7zxSeffCLHcTR69GhJ5wM11atXV0hIiHs+utDBgwdVo0YNhYeHa/jw4Ro1apSCgoJUp06dFP2lQYMGCgoK0sqVK6/q8eDfIfnvf/r06SpUqJBy5cqltWvXatGiRYqKilL9+vXdygDbt29Xy5Yt9csvv0g6P19pzZo1U4QnJGnp0qW67rrr5DgOUwh5wIWhiRw5cuitt96SJMXGxqp69erKlStXQHgiedirXbt2KlasmM6ePasGDRq44YkL561dt26dO/dtz5493b6JjCt5pYk1a9a4y9etWyfpz++nY2NjNWzYMAUHB6tjx47at2+fbrnlFo0dO1bS+QDFDTfcEDCdXvLrKPfpGU/y81SvXr0UFRWlUqVKuX1p37596tu3r7p165biM/7+4A9PlClTRnny5NGSJUvcMHzycxqhCW+ZMmWKHMdR+/btJZ0f9GnSpIlq1aqlTZs2udv5+9OkSZMC5nCfMGFCisoT/m0XLFigsLAw3XTTTYQmPOjCYPzFfu8nTpxQ48aNVbt2bY0bN06O46hy5coBIWj/du+9956KFy+uqKgoffrpp1QX9BD6FNIafQpXw7fffqtcuXIpV65cevLJJ1WlShU5juNOrefvZ3810B0TExPwDFXimZRX0aeAy0NwApLOnxwPHjyoatWqqXjx4rr//vtVr149tWnTRoMHD9aOHTvc7aTzN4b+N9b8/iw8sXbtWjmOo2eeeeafOyD8a3z99dcqUaKEihYt6s5tNXPmTFWtWtV9S+3cuXNq3ry5Spcu7YYq/iw8sW7dOtWvX1+O4ygkJITQhMesWbNGmTNn1ujRo7Vnzx41a9ZM4eHhmjx5cqrbnz17ViNHjlRISIgGDhzozhF57733KjQ0VPPnz5d0/tz24osvKiIiQjExMQFvXCJjS37emDFjhmJiYpQ1a1blyZNHNWvWdK91yaegSu7C8MTRo0eVkJCgESNGKCIiQp07d071ZyHjSC008c477+jYsWPu8l27dqUanvC/fTRv3jz5fD53qqCaNWsqKCgo1fDEypUr1bJlyxQP2JDxJA9NLFu2TNL5e6jixYvrhhtuSDGly4ViY2M1ZMgQBQcH684775TP53PnJfVPt+e/F0v+kJcByYytR48eKlOmjPum0Icffqj4+Hj1799f119/vYKCgtwBcCnlgMCJEyf0/vvvK3/+/CpWrJhmz57t3l9JhCa8aO3atbrmmmuUL18+bd68WU2bNnWrBNatW1ebN29O8ZlFixYFhMEmTpyYIjzxyy+/KGvWrLruuusITXjIqlWr3D7gl9rvfOvWrSmq3cyZM0eO42jFihX64osv5DiOqlatqkWLFgV89ujRo3r33Xfl8/l0++23890vg6NPIa3Rp3A1+Z8vLF26VNmzZ1dYWJgyZ86smTNnSkpZ6e1iA92bNm1yX+hI3ja8hT4FXD6CEx62atUqLViwIGDZsWPHtH79ei1evFgbN25M9XMXPjxLfoJMHp7wPyh77bXX5DiOnnzyyTQ+AvybJf/SMHfuXF133XUqUqSIevbsqbx586pSpUo6ePCgu82BAwe0fv1693MbN250wxP9+vVzwxOnTp1Sz5495TiOHnvsMffzXKgzpmXLlrmDPNL54ExQUJDuv/9+NWvWTBEREW4gx+/Cge1ly5bpo48+Cuhv3377rRzHceeJPHfunPr06aMSJUq4A5fwDv917ezZs+rdu7dCQkIUGhqq1atXu8svxh+eyJQpk4YNG6aZM2fq5ptvVqNGjdxtOEdlfBUrVlTevHk1adIkNzTxyy+/uMGu7du3q1q1asqVK1eKMGlsbKxy5coVEAa89957/zQ8ceLEiat7MEh3qYUmpPOVlrJnz67bb7/9ktqJjY3VK6+8ouDgYGXLls19+7t169Zq3Lixtm3bdjV2H/9Sw4YNU1RUlDp06KB9+/apR48eCg0N1SOPPKLbb79dPXr0UM+ePZU/f/6AakkXfv87deqUO21H8eLFNXv2bB0/flwfffSRypYtS2jCg3r37q2wsDCVLVtWkZGReumll/TMM88oODhY9evXd58tXDiwlPz+yB+eiI6O1nfffaeDBw/q0UcfDbg3JzSRsR0/flzFihVTdHS0HnnkEX344YdasmSJfv75Z61evVpff/21hgwZolatWikiIkI//vij+9mkpCTt2rVLBQoUUMeOHSX9fzWU1AYljxw5onHjxmnx4sX/6DHin0WfQlqjT+FqSn6fs3TpUt16663y+XzKmjWrpk6d6t43XVgV7mID3X48k/Im+hRwZQhOeNSWLVuUJUsWVapUKcUNmP+mzf8GmiT98ccfKQYjk0t+onziiSfkOI4eeughbd26VcePH9eXX36ZYgoPZHxJSUnuBffLL7/Utddeq5CQEJUqVcrd5mL9Knl4om/fvjpw4IBGjhyp8PBwKk14wLlz59S5c2c5jqNmzZq5y7t3765bbrlFkZGR7rzbJ06c0Jo1azRt2jR98MEHKfpV8rdyk5KS9Ntvv8lxHNWuXTvgJnL9+vX0pwws+e/6wi8Hp06d0tdff618+fKpVKlSiomJUa5cubRhwwZJKQeNLnTgwAHVqFFDEREReu6559x5A5P/DGQ8/j41ZswY981av99++82drsX/wGz79u2qXr26oqKiAkJhCQkJuueee1StWrWA+6Xk4Ynk4S9kbH8WmpCkQ4cOqXDhwipQoID2799/Se0tXLhQefLkUaNGjdxpFSSl+vADGdu7776rQYMGadeuXZLOh5sLFCig6OhoPf/885LOn9e6d++uvHnzXlJ4omDBgoqKilLZsmWVJ08eFS9enNCEh/jvsRctWiTHcVSgQAG9++67ks6/kVa9enU5jqMGDRqkWnlCShmeiI6OVq5cufTTTz8FbEdowhueffZZt2KJf/rYC/+EhISoYMGCmjdvXorPP/TQQ4qOjtbx48clSe+//747KPnDDz8EbPtX9/fIGOhTSGv0KVwNye9zFi5cqBo1aihbtmwaPny4e2+U2nOmyxnohrfQp4ArR3DCo3bu3Kknn3xSYWFhuvfee7VkyRJ33UMPPaTMmTNr8+bNSkpK0rp169SyZUu9+eabF20z+QOPxx57TI7jqGLFijw48zB/nzhz5ox+/PFHRUVFKUuWLCpatKg++OCDFNv5Jb+wJw9PDBkyRG+88YZatmz5p59FxrJ//37Vrl1bPp9Pbdu21Zo1a/TEE08oe/bsaty4saZNm6batWurRIkSCgkJkeM4uv7663Xu3DkdPnzYnbf7QocOHVJERIT7xu5flTtHxrJv3z7Nnj1b27dvl3R+zvbZs2crX758qlatms6dO6dZs2YpJiZGUVFR7luSf/XQYu/evapRo4Yb9pI4R2VUF54z1qxZo65duwZUspGkl156SVFRUcqfP79WrVol6Xx4wt9P+vfv727722+/6dSpU0pISAjoN7Vr15bjOHrqqac4V3nAn4UmkpKS3HNQq1atFBQUpJ9//jngsxcOKvr//s4778hxHE2aNCnV7eANR44c0ccff6ydO3dKOh/4GzhwoG688UY3NNG/f3/NmjVL586dU48ePVKEJy4Mpp46dUqzZs3STTfdpODgYN12222E5TO4ZcuWadasWdq+fbsbxDp58qRatmyprFmzatasWTp58qSOHz+usWPHKiQkRDfffLPCwsJUu3Zt/f7776m2m/z69vbbbytXrlxyHCfVASdkbLNnz5bjOBowYIC2b9+uRYsWacGCBXr//ff11Vdf6bvvvtPKlStTTB3rv7YNHTpUdevW1aJFi9xl/kHJu+++253LG95Bn0Jao08hrSV/1rRgwQLdfffdioyM1KxZsyRJP/zwg3LlyqVcuXLp9ddfd7f9q4HuC/sgvIM+Bfw9BCc8JvmD0gMHDqhfv37y+XyqXbu2Vq5cKUm6/vrr1aBBA0nn52O7//773cSsv9z0pbTfvHlzhYSEuANTyNj8v/sjR45o79697vL4+Hh9+umnypcvn2rWrKkvv/xS119/vYoUKRLQny42uLhx40a1atVKISEheuqpp3TgwIG//Awyjv3796t+/fpyHEdFihRRZGSkRo8e7Z6bMmfOrEqVKunBBx/Us88+qw8++ECxsbHq3bu37rrrroD5k/3++OMPZcuWTbVq1UqHI8I/bcGCBZozZ46k82Xrhw4dqkKFCrmVkebNm6eoqCjdcccd7iBAUlKSpk6dqkKFCl1WeGLTpk2qU6fOn4Z28N+3c+dO9erVS1OnTg1YvmbNGnXr1k2O46hPnz7u8pEjRypbtmy688473X60detWtWjRQi+++KKOHTuW6kB28ili6tWrpxkzZlylI8K/RfLQRPJQxIVzjg4ePFiO47jntYs5ffq02rZtqwoVKrj3+gQnvOHHH3/U4MGDdfDgQe3fv1/9+/dXvnz5NGfOHCUkJGjKlCnKnTu32rZtK+l8qCtPnjzKli2bFixYoPj4+FQrT6QmLi5Oy5Yt06FDh/6JQ0M6OXr0qHtPHhwcrHr16uno0aNq1aqVHMfRTTfdpB07dkiSRo0apaCgID355JM6d+6cnnvuOYWFhalmzZrauHGje17zf6+TAoM5I0eOVObMmbmf8hD/tSkxMVHXX3+9KleunOJ6lZCQoOeff16jRo1yp/K8cEq9PwuZ+gcl77jjjkuu2IT/NvoU0hp9CmntwudL8+fPV5UqVZQlSxZ3gNv/7PvHH39U7ty5L2mgu0uXLnIcRzVr1nSnaoQ30KeAtEFwwqP8N21//PGH+vfv74YnnnvuOYWHh2vatGnatm2bqlat6p48a9eurZCQEH344YcXbdt/Uk1ISAgYQEfGtHfvXvch1/79+zVy5Eh17dpVq1ev1tmzZzVjxgzlz59flStX1unTpyWdHxgoUaKEihYtqilTprhtXSwIsWHDBt13333KkSMH/SoDO3v2rHbs2KE1a9Zo1apV7luL3377rQoWLOgmXCVp2rRpmj9/vvuA1u/48eMaOHCgHMdRp06dUv05X375pXvDJxHCyaiSkpL0448/ynEcdenSRUePHtWAAQPkOI6uu+46hYSEqGPHjmrWrJkefPBB98HGnj173DamT5/uliG/1PAEVQEytoULFyo4OFi5c+fWt99+K0n6/vvvNWbMGH3zzTephif69Omj8PBwtWnTRvHx8e7yU6dOBbT93XffBVzj/H2Nc1TGlzw0sXTp0oB1586dU0JCgvbt26fNmze717iaNWtq/PjxGjhwoPr06aO+fftqxIgRGjx4sE6cOOF+fv/+/Tp06BD9yEPOnDmjkSNHynEcVapUSS1btlRUVJS6du3qbrNu3TrVqFFD+fLlc0OmH330kRzH0S233KJ169bp+PHj6tmzpxzHcefivlilOGR8ixcv1vjx41W3bl0999xzqlu3rsLDw3XHHXcoJCRE9913n/t84dFHH3U/N3/+fMXExMhxHK1evVqStG3bNpUpU0aPP/64u13y/kUQJ+PbsGGDfvnll4BlSUlJeuCBB5Q7d+4U99RHjhxxK3H169fPvdZd+ID/wvb8pkyZ8pfPs/DfRp9CWqNP4Wo5deqUXnzxRb3yyiuSzt9jlSxZUpkzZ9bMmTMl/f8U2Jc70L1nzx41b95cjuOoTp06PKPyCPoUkHYITnjQ3Llz1aRJE/cBWWxsrAYOHKjg4GBFRETommuu0bfffqu6desqKirKfTutf//+chxHoaGhKd6yhPckJCToo48+0s0336wjR47oyJEj7huQjuOodevW+uKLLxQeHq5bb73V/bLgHwT66quvLjs8sXLlSre8MDKmuLg4lSpVSkFBQQoLC1O2bNk0evRo9e7dWyEhIcqcObPCwsL0yCOPuH3FH8iRzgd5hg4dquzZs+uxxx5zl19YWvqbb77RzTffHFBSHxnTtm3bVKtWLeXJk0dPPPGEgoKC3JLkd999t2JiYtShQwdt2LBB0vkHFbVq1dL06dPdNj788MPLnrYDGdvbb7+t6Oho3XTTTRo7dqxKly6tQoUK6Y8//tDOnTvd8MQzzzzjfqZJkyYKCQlRt27ddO+99+rll1921508eVKff/65smTJoqeffloSg5FeMnfuXPl8vhShiQkTJqh379667777dPvttysmJkbR0dHKmjVrqnMpJ//z6aefuu0kvwZy7vKO06dPa/LkyQoLC5PjOHr88cf17LPPutMvbt26VRs2bNA999yjPHnyuFVOpk+fLsdx9NBDD+nYsWPud0XeLPK2C69Jhw8fVtWqVZUtWzbNmDFDSUlJat68uYKCghQUFKQ2bdq4265Zs0bNmjVTaGioW358586dbii6e/fuAe0T8vKGX3/9VYULF3ar3kj/f40aM2aMHMdJdeqfffv2qWzZsgoLCwsICl6s33BP5Q30KaQ1+hSuljNnzqh79+5yHEf58uXTW2+9penTpyt//vwBz8iPHz+e4rOLFi26pCkWtm7dqgcffNANrCJjo08BaYvghAe99dZbchxH06ZNc5edOnVKjz76qEJDQ/XII4+oYcOGyp49uzu38syZM+U4jh599FHVqFHjkipPIGM7cuSIO5/7oEGD9Pzzz7v/P378eAUFBWnQoEEaPny4Dh8+LOn825Tfffed+wD/UitP8AXCO3bv3q0RI0aoZ8+e6tmzp2rVqqWbbrpJ2bJlk+M4ql69uurUqSPHcfTggw8GfPbAgQMaOnSooqKi9MQTT7jLk7/dnbzcYWo3i8iYpk+f7g40Dh48WNL5CgHR0dHKli2bQkND1aVLF+3cuVPvvfeeO8hUu3ZtrV+/3m3jcqftQMaT/Po0ceJE5cyZU+Hh4br22mvda50k7dixww1P9OrVy11eoUIFBQUF6ZZbblGBAgXcNwGk8yGfe+65RyEhIdq8efM/c0BId4sWLVJQUJCuv/76gApK+/btU8WKFd0gRExMjEqWLKkaNWqoYcOGchxHxYoV04gRIzR8+HC98soreumllzRixAh17txZ27Ztk3T+Wvf666/rgw8+SKcjRHo5dOiQXnvtNWXJkkWvvfaaTp48qdtvv11t2rTRCy+84E7fsm3bNlWvXj0gPPHyyy/LcRw34HXkyBGtWrVKX3/9td566y0NGjTokqaKQcYUFxenli1bKjIyUpMnT3YHhF588UUFBQW5wZs//vhDu3bt0sMPPyyfz6cvvvhC0vnQRIECBdzQxIXTEcEbVq9erSJFiig4OFiLFy8OWPfuu+/KcRz3ntvP/3bjsWPHVL58eYWEhGjQoEGXNCiJjI8+hbRGn8LVcObMGf3vf/9TSEiImjVrpixZsqho0aIaNWqU+x0uMTFR8fHx6t27t6ZMmaLly5cHtJG8SsBrr73mLvf3L/9/L3yJDBkTfQpIewQnPMgfgvA/7EpISFBSUpKeeOIJZcuWTSEhIQEPzmbMmCHHcfTCCy9IOl8e3195YvLkyel2HEh/Gzdu1O23366cOXO6oQnpfDUJx3EUFBSkDh06aPv27dq0aZNKlCihrFmz6qGHHnIv3PPmzbvsyhPwhp07d6pNmzaKiIjQl19+qerVq6t9+/bat2+fqlWr5pY+3Lx5s/bv36/BgwcrZ86cAZUmknvppZf0zjvv/MNHgfT2xx9/uOXK3377bUnnQ1u5c+d2p31p3769smbNqi5duuj06dNas2aN+vbtqwIFCmjFihVuW9OnT1fRokUVFRWl33//XRIP+b1sw4YNKlSokIKDg3XTTTfpxx9/dNcdPHhQQ4cO1dNPPx0Qnpg6daoiIyNVs2ZNVapUSXny5AkIT7Rt21aO4+irr776x48H6WPFihVusOv999+X9P/nlXHjxmnatGlaunSp4uPj3Qexhw4dUkREhBo1apRqm/5KTMePH3fDYPfff/8/cDT4t9i3b59GjBih3Llz65FHHnGXDxs2TI7jKDg4WG3btlVsbKwkafv27apWrZqio6Pd4Hzz5s0VGRmpnTt36sUXX0xR1aRy5co6evRouhwf0k9CQoLatGkjx3HUs2dPSedDys8//7x8Pp+6du3qzoFctWpV3X///fL5fG4VnOSVJnr37u1+5yOM6k3+l3r890L+KWUnTJggx3G0fPlyTZ48WWPHjnU/478WHj9+nEFJpECfQlqjTyEtxcfHq2fPnvL5fBo1apTi4+M1a9YshYaGqmjRopoxY4a7rX8KPf+9+913361ly5alOsXCq6++ml6HhHRGnwKuDoITHjR58mQ5jqMlS5a4y44cOaJSpUrJcRwVLlzYnb/NH5oYNWqUpPNvg+fMmVM1a9ZU5cqVFRwcrKlTp3LT51Hx8fFq3759wBtpX3/9tXLnzq2qVau6VSgee+wx/frrr/r555/dagHJH7bOnTtXJUqUULFixQLCE/CW5APQK1asUJMmTRQREeFODVS0aFE1bdpU0vlzUdu2bZU/f34VKlRIQ4YMUd68edWnT5+ANvfs2aMpU6bonnvucd/O/eOPP/65g0K6W7FihcqVK6fg4GCtXLlSy5YtU+7cuVW5cmV3cLFjx45yHEeZMmXSo48+qoMHD0r6/wol/of5CQkJmjZtmnw+nypUqEDVEo9KSkrSwoULdeONN6pYsWJ68cUXlTdvXpUvX17ffPONzp07pwceeEAFCxbUp59+qjZt2ih79uz64YcfFBsbq8KFC6tFixb6+eefVaFCBUVFRWnYsGEaO3ascufOraioKO3atSu9DxP/oPXr1+vaa6+V4zgBoeQLBxL999tnzpxRZGSkW3nJP0epf75S6fz0L5MnT1a2bNnUoEGDf+hI8G/xxRdfyHEcde3aVT169FClSpW0Z88eTZo0ScHBwWrdurX69OmjAwcOuJ/Zs2ePqlatqoIFC+qnn37SV199peDgYI0ePVpLly7Vyy+/rBkzZuiTTz7RggULmD7Pw8aPHy/HcVSuXDnNmjVLr776qoKCgtS5c2d3m/r167vTdrz33nuSzpf39Vea6NWrF6EJD/Nfq/bv368SJUrohhtuCKjc5e9jn332mRvUGTFihLueQUlciD6FtEafQlo7e/as+vbtK8dx9OSTT+rkyZPuuo8//lihoaEqWbJkwPfBjz76SK+++qquu+465cuXT2vXrg1oc/HixYqOjlbevHk1ceLEf+pQ8C9BnwKuHoITHuK/6fPf3PnfJjp37px69uwpx3FUvHjxPw1NbN++XTlz5lSzZs0knS9z7i9n7n+LF95x5swZvfDCC3IcRw8//LAkaf78+cqdO7eqVKni9reyZcsqKChIjzzyiA4dOqSzZ8/qgw8+cCua+M2dO1dFihRR4cKF9e233/7jx4N/j59++kn33nuvgoOD3dLiR48eVXh4uJ588kl3u9OnT7sD3lmzZlVERIQ++ugjffDBBxo6dKjatm3rDkRFRUWpevXqWrhwYXodFtLR+PHjVaJECeXJk0dZs2ZVrVq13PJybdq0UVhYmKZNm6ZOnTopU6ZM6ty5s3bv3i3p/x9o+N8skaQiRYrorrvu4mGHh02cOFG33367tm/f7v49OjpaZcuW1V133aWsWbPq888/lyRt2bJF77//vrZu3SpJatGihXw+n+Lj4/Xjjz+qQoUKbuo/e/bszBfpUevXr3cHFJOHSC+sapOQkKDjx48rW7ZsbnDiwnPRyZMn9d577ylr1qwBoQnOWd7iry749ddfq23btm6ItFu3bnrssccUGhqqPXv2aObMmfrkk08kSZs3b9Z1112nihUrSpIKFSpEtRKkaurUqXIcR7lz51ZYWJi6devmrtu2bZsaNWrkTtvRsmVLLV26VDExMVSaQAodOnSQ4zhq2rSpG1r2P5/aunWrli9frrvuukvR0dGaNGmS+zn/vXnyQckBAwa4wWaued5Fn0Jao08hLcTGxqpTp07u1MOrVq1y1yUkJOjRRx+V4zi64YYbNH369IDP7t+/X7/++quk//9+6O9f/srgPXr0+IeOBP8Whw4dok8BVwnBCY9JSEhwKwT4T45btmzRLbfcoujoaDdl9v7776cammjSpInbVsWKFVWkSBFVq1ZN69at++cPBuluzZo1CgkJ0XXXXadevXopT548uvvuu91kdbt27ZQlSxZ3Lu527dq5g0zS+S8JiYmJ7gDme++9J8dxNG7cuHQ5HqS/hIQETZw4UY7jBEyrsWjRooDKJpJ06tQpPfvss8qSJYscx1GBAgWUKVMmt3JAnjx51LBhQw0ePFhbtmxRXFxcehwS0lHyBxFTp05VmTJllDlzZjec1bZtW4WGhrrhv/nz57tBnC5dumjPnj2SAgcuH3jgAfdLSXx8PFN1eNihQ4cC/v7qq68qS5YsCg0NvWhZQ/9Dti1btkiSli5dqu7du+uBBx7Q+vXrr+o+49/tUsITCQkJiouLU2RkpNq2bSsp8FxHaAKp/a4/+ugjBQUF6emnn1ZsbKzeeOMNZc6cWWvXrlXp0qUDQs8rV67UkSNHJEl33XWXihYtqqNHj3K9Qwr+ZwaRkZFaunSppPPTWDVs2FA+n09fffWVe83z368PGDDA/a5IaMLb/OeUX375RdmzZ1dkZKQaN26sw4cPa9SoUbr77rvdwcUff/xRt9xyi2688UZ98cUXbhv+5wjHjx/XzTffrEyZMqlLly46duzYP39ASHf0KaQ1+hTS2saNG/W///3PfQlx1apVOnv2rCZNmqTIyEhVrFjRnWLhwoHuP9OsWTM5jqORI0e6VQjhHZs3b6ZPAVcBwYkM6mIPR8eOHavWrVu7f/eX9KlcubL27t2rWbNmyXEcPf/885JSD03cfvvtKleunGJjY91S5/AWfx/79ddflT9/fjmOo9KlS7vr27Rpo9DQULesU5s2bRQUFKQuXbro999/d7dLfvH1BywoBeUNf3bjdfjwYf30008By4YNG6awsDA3pHXgwAENGTJE0dHRuvnmm5UlSxa9+eab2rdvn7Zv3664uDiCEh50YZ/yl6/3mzp1qq6//noVLFhQ99xzjzJlyqQJEyZIOl/1xnEc1ahRQ40aNZLjOOrcuXNAeCI+Pl7du3dX/fr1tWnTpn/uwPCvcmE/S0xM1IEDB9S0aVM3vNW4cWMtXrxYe/bs0dy5czVlyhS9+OKLOnjwoJ577jk5jhNQEjEhISGgqgm861LCE3FxcfL5fAFVmCRCE0jdihUr5DiOcuXK5VahaNeunQoXLqyzZ8/qpptuUsuWLXXkyBENGjRIDz/8sI4dO6b4+HjdfPPNyp49u/bv308/Qqo+/PBDd9qO8ePHq2nTpvL5fPrss/9j766jo7rWNoA/eyZC3ENCgAhJcClWCBCKFy/Frbh7cXcLBYqEQJHiXNzdobgnQHGIQCAJEPeZ5/sj35xmkN62FxKa7N9ad5WcOedk9sp7j+z97nfvJUmGhITQ3NxcWTJPt8SL7EOQdJ4+fUpnZ2cKIZg3b162adNGef7WDTiSGc/qBQsWZJ06dfQm7ugScCIjI+nq6koLCwuGh4dnbSOkL4qMKelTkzEl/S8iIiJ479495efQ0FAOGTKEQgg2a9aMU6ZMoZmZGVu3bk2tVssdO3bQyMiIHh4e3Lhxo3Lch57Fp0+frgyKv3jxIkvaI2UvXb9A5gTkZ8+eyZiSpE9MJk7kQJnXNg4ICNC7OZMZD3W6B7tDhw7R0tKSnp6eNDAwYIkSJWhkZMT58+eTzFiH9ENJE6VLl1YeEqXcS3eDDQoKYv78+enh4cHNmzeze/fuNDY2VmZxHz9+nGq1mkWLFqUQgp07d9ZLniD/WBrGzc1N3phzqA89kP23rFWtVstXr16xQoUKLFSoEOPi4hgeHs4ZM2bQ1taWQ4YM4b1792hmZsapU6d+9PfJ7NicT/fSkJaWpnd/ejd5YuPGjSxevDjVajWHDx9Okty3b5+yVIJusFGX/JW58oSObiauJJEZg0L16tWjtbU1r169ykmTJikzcB0dHZXY0iUGTpw4kUII3r9/P7u/uvSF+ljyhO75/fDhwxRCcPr06cpnMmlC+jOjRo1iwYIF2aBBAz5//px16tShj48PSbJw4cLs06cP09PT6enpyW+//ZZkRkwVLFhQ2U+SPmbDhg1Uq9VK1bcDBw6QJB89esSCBQtSCMESJUpQCMEWLVrw6dOn2fuFpSyTuTrbn1UY6dy5M01NTVmtWjU6ODiwbdu2jIyMJKm/XJ6udPTEiRNJ/nGP0/03ODj4vX4GKWeRMSV9ajKmpM/p+fPnHD16NBs0aKBUnCTJ8PBwpSqXEIL169fXi79du3bRyMiIXl5eesu/vNu3GRwczN9//53BwcGfvzFSttP9/VNSUrh9+3YlUZmUMSVJn5pMnMhhdBe7pKQkzp07V5n1+CEhISFK6Z2TJ09yxYoVFELQw8ODT58+5YsXL2hra6t3vC5pQmbG5i66uMp8M3334f/mzZvMly8fjYyMmCdPHq5du5YkuX//fuWmvXHjRi5evFhZtiPzy0JycjIfPHjAoKCgrGqWlIUyD9wMHz6c27ZtU37+b0kNx48fp6GhIceNG0cyI/vV1taW/fv3V/axtrZmt27d/tL5pJzj6tWr3LFjh/JzSkoKd+/eTV9fX70s6neTJ9atW8eiRYvSw8ODM2bMoBCCDRo0YPny5eni4qLs16VLFwoh2L9/f8bFxcmS0tJ7NBoNly9fTk9PT+7cuZNkRhnW77//nkIIDhs2jJs3b+Z//vMfLliwgEFBQaxZsybz5MnDiIgIeb2SPupjyRMkOXnyZAohuGXLFpJkfHy8TJqQPihzDMyaNYtubm5s2LAh27dvzzt37lCj0TBfvnwcO3YsU1NT6eLiwj59+pAk/fz8KIRgmzZtmJqaKq9X0p9auXIlhRA8fPgwyYxOV901bMKECST/WCO+adOm8pkqF4iPj+fGjRs5cuRIpcLIx/7uo0ePpp2dHY8cOcIhQ4bQysqKbdq0YUREBEn9QckWLVrQxsaGoaGhn78R0hdFxpT0qcmYkj6nly9fctq0aTQyMuK0adPe+zw8PFypAt6sWTNlSXWd0aNHU61Ws0iRIly+fHlWfW3pC5U5aWLlypW0t7dnu3bt9K5ZMqYk6dORiRM5SOakifnz5zNfvnysUaMGExMT39s3LS2Nu3bt0ht81Gg0XLhwobJsh62tLdu3b68cI5MmcpeXL18yISFB+TktLY1HjhzRy0p8N3kiMDCQ+fPnp42NDXft2qXMiPT29qZarVaW4Jg5cybVajW7deumzDiSnWc5V+ZOex8fHwohWLNmTZ45c0bZ/med8UePHuWsWbO4Z88eTp8+nZaWlhwwYIDyeVhYGK2srPjjjz9+ngZIX6Tw8HAWKFCA5cuXV5Y8OHLkCMuWLUshBI2NjZWBbPL95InDhw8zb968VKlUrF+/PoOCgpRBouvXryv75c+fnz4+PnrXQ0nKLCIigjdu3NCLL39/f6rV6vc6SJKTk1mkSBFWq1Ytq7+m9C/0oeSJhIQE9ujRgx06dODZs2eZlJQkkyakP5X5GWvatGksUaIEu3btypcvX/LJkyc0MDDgggUL+Pr1a1paWnLGjBkMCwtjnz59aGxszJMnT2bfl5f+VcLCwkhmlAvWXbsyD0ZpNBq2atWKt27dys6vKWWBxMREbtiwgW5ubhRCcODAgcqgYub3ft29Sje5QjdDu2fPnrS2ttYblNQdN2/ePAohuGHDBr1zSDmbjCnpU5MxJX1OL1++5IwZM2hvb89Zs2Yp25OSkt7bb9SoURRCsHnz5spkwgMHDrBkyZLKcmeVKlWSEw1zMd37XGpqKtetW0dnZ2cWLVpUGfPLfI2RMSVJn4ZMnMgBMg8G6ZIm8ufPzxo1aig35MxrrukkJiZyz549jIqKUs5Dkj///DOFELS1tVUy0ypXriyTJnKRa9eu8euvv+apU6dIZjz879+/n5UrV6a1tTXnzp2r7KuLPd0Lwo0bN+jq6ko7OzsKIVivXj3u2LGDdnZ2etVLdGu86ypTSDnTu0kTDg4OHDRoEM3NzVmtWjX+9ttvyud/ljzx5s0bjhgxgmZmZnqVJkjy0qVLVKlUytIwUu6QnJxMf39/Ghsbs3HjxvT396e3tzeLFSvG2bNn09TUlJaWlty1a5dyTOYOkEOHDikzac+dO0eSXLBgAYUQyhJXw4cPpxCCVatWZXR0dNY2UPpXypzEWqhQIdaoUUPvc39/f71qYHIGt/TfZE6eWLduHUn9GW3r1q2jhYWFTJqQ/lTma83o0aPp4ODAcePG8e7du/T39+f58+f58OFDvWfzFy9e8NatWzK5WfpLdHESGhqqlzSRuZ9Cyh10g5FmZmb87rvvWLNmTZqYmHDAgAFMSUkh+f6kiWfPnnH48OG8evWqsq1Xr17vDUqSGe9+uqpeUu4gY0r61GRMSZ9afHy8Mvby4sULTp8+nQ4ODnpJE+fPn+fcuXPfG1t59eqVssRCy5YtuWjRIhYvXpyOjo4MCwvj1atXuWjRItl3kEvpnqVTU1O5fv16Ojk5sUSJEkrShC7uMseHjClJ+t/JxIl/sZs3b/LJkyfKz5mTJmrWrPmnSRO6B8EPSU9P56JFiyiEYMOGDfnVV1/xq6++0nsIlHIujUbDlStX0sbGhuXLl+f9+/d55MgRent709nZmba2trSxseHChQs/eCyZkV2tUqnYunVrXrt2jSkpKfT09GT9+vWVfXv37k0hBKdOnSpv1DnUu0kTtra2XLlyJcmMKhJmZmasUqWKkqBD/nG90h2r+/nevXts0KCBshwHmTFwnpaWxpEjR1KtVssZkbnUihUraGBgQHNzcxYsWFBZZzQgIIB58uShjY0N9+/fT5I8efIkHz16xLS0NHbv3p0NGjTg+fPnlXPpStq9ePGCWq2W06ZNY+HChXnnzp1saZv076TrZOvTpw8NDQ15+fJl5bPjx4+zf//+ekljkvTfZE6e0A1qx8fHc82aNTQ3N5dJE9Jfkvl5u2PHjrSwsOCePXuUbbt27aIQggcPHsyOryflAM+ePaOTk9N7SRMy+Sb30A1Gmpubs2XLliTJs2fP0tTUlFZWVh+c0f3ufStz/9WHZnTfvHlTqV4p5XwypqRPTcaU9KmdOHGCxYsX54gRI3j8+HEuWrTovaSJS5cusUaNGnR3d2dwcPB753jx4gWHDBmiVE91cHBgSEgISf34k+96uUNoaCjDw8P1Kk18KGni3fGUzNcmGVOS9L+RiRP/UqdPn6YQgl26dCGZUbZ3/vz5zJs3L+vXr/9e0oTuIvhXK0ZoNBr6+fnR0NBQdqDlQrGxsdyyZQudnZ3p6elJNzc3ent7882bN7x58ybt7e1pZ2fHxYsXK8e8fPmSJHnx4kWamJiwfv36yoBkcnIy3d3dWa9ePZIZ5fTt7OxobGys3LSlnOVDSROrVq3SWzro0KFDtLCwYLly5bhv3z7lpfT+/fts3bq1ElM6mQevdclfycnJLFasGKtWrfo5myN9YTJ3xB8+fJhOTk5UqVRs2LAhnz17puy3dOlSmpiY0M7OjiNHjqS3t7cy6+Px48d88OCB3nn79OlDS0tLvdiTlZakf2rLli0UQuhVPSHlAJL0z2ROnli1ahX37dsnl+eQ/rbMMVKlShUWKVKEb968IUn+8MMPtLS05OvXr7Pr60n/YqmpqezVqxeFEBw8eLBMmsiFMg9G6ipr3bhxg2XKlKGrqysrVapEU1NTtm3bVlm+JbPMnf+Z40Y3o1v3fnj06FFaWlqyQ4cOTEtLk5MwcjAZU9KnJmNK+tTS09Pp7++vLPliaGhIGxsbzpw5U9nn6tWrbN68OZ2dnXnlyhWSf8RS5jgKCQnh0KFDKYRg/fr1ZX95LnXo0CF6eHjwp59+IpnR/61LmihevLiyjLAuhu7du8fNmzcrx2dOnpAxJUn/nEyc+Je6cOEC8+fPzzJlyjA4OJj+/v7Mly8fGzduTDJjNrfuQqnLlL169SqNjIy4evXqv/Q7kpKSOHXqVFpZWcnZtrmI7qEtNjaWI0eOpKGhIfPkyaM83JHkb7/9Rnt7ezo4OHDhwoXctGkT+/Tpw/v37zMuLo7Tp0/nxYsXlf2Dg4Npb2/Pzp07kyTj4uJ4584dvZneUs7xV5ImyIwlYTw9PWlsbKxcY+7evass89KmTRulekBmmV8sxo4dSyEEFyxYQFKWvc9NUlNTefDgQXp7e9Pb25s//fQTDQwM2L59ez569EjZb8mSJTQxMVHW8IuJifng+aKjo1mkSBGWK1eOGo3mg9WaJOnvuHjxIoUQ7N27N7VarYwp6X+WOXlCCMGmTZsqn8mkCemv0j0rnTlzhpaWluzUqRNJ8tixY9y3bx9jY2Oz8dtJ/2bPnj3j8uXLZdJELvShwcjAwECWKFGCHh4eysQea2trWltbK8vivXr1ir///vsHz5k5frp3704TExO2bduWr169Ynh4uLLkrJQzyZiSPjUZU9LnotVqeerUKX799dc0MjLinDlzlM+uXr3KFi1a0M3NjTdu3Pjg8Znf4x4/fsx+/fpRCMHmzZvz7t27n/vrS1+YtWvXUgjB8uXL89mzZ1y7di1dXV1ZtGjR9xJuHjx4wNatW1MIwUmTJinnyNz3JGNKkv4ZmTjxLxUXF6esVVS5cmW6urqyRo0aTElJ4bRp0yiE4PTp05X9g4KCaGdnRy8vL27ZsuUv/56EhASZjZYLpaam8vjx4/Ty8qKTkxMdHBxYuXLl99bsc3R0VAa5K1SooAxIvtt5f/XqVQohOHfuXJKyEy0n+9jyHO8mTZw/f56+vr40MzPj2bNnSZK3b9+mjY0N3d3dWbduXVpZWbFt27ZK8sS7cXX8+HE6OzuzUKFCfP78+WdumZSd3k2I0Wg03L9/P7/66iu6ubkpVSHmz59PtVrNHj16MDIyklqtlmfOnKGxsTHr1q2rVCr50ADjlStXKIRg165dP3+DpFzh+fPnyrJnkvSpBAUFUQjBH374QdkmkyakfyIuLo7fffcdzc3NZTKz9MnJ973c478NRure02bNmkVDQ0OePn2aZMb9zMbGhp06dfpowlbmOOrUqZOyVrdMls/ZZExJn5qMKelzioiI4OzZs1mwYEG2adOGAQEBDA0N5a1bt9isWTO6urry+vXresfUq1ePPXv2/OD5Hj58yB49erBw4cJKAo+Uu7Rq1YpWVlacMGECPTw8WKBAAW7cuFEZl9Fqtbx//z7r1q1Lc3NzOjo60tLSkrNnz1bO8W7yhIwpSfp7ZOLEv5DuoezOnTu0srKiEIJ169ZVBiZ37tzJihUrUghBf39/PnnyhNbW1ixdujQPHDiQnV9d+gK9+zCflJTEvXv3smjRoixRogTv37/P//znP7SxsWGVKlX0BsD9/PwohGC9evU+uL6WriN/+vTpFEJw27ZtWdAi6Uvg4+NDKysrrl69+r0Sh7qkiTx58vDMmTMkM15Ira2t6ebmxr1795Ike/fuTWtr6w8mT7x9+5a//PIL1Wo1N23alIUtk7Ja5mvKvn37lGUPdNefatWqKWXFk5OTOWPGDKpUKvbv35/r16+ni4sLfXx8lOpLH5v1v2nTJpYrV46nTp167/dK0j/x+++/84cffuDChQsZHR0tY0r6ZDIvSSSTJqT/xenTp9m2bVvevn1bxpIkSX+bbjDSwsLiTwcjx40bRwMDAx4+fJgkef36dVpZWdHR0ZGGhoZ668C/+7yUeVCyW7duDAoK+tzNkrKRjCnpU5MxJX1OL1++5IwZM2hvb88pU6ZwxYoVFEKwZ8+ebNmyJT08PN6rWNKyZUuam5tz7ty5ygTEx48fK32hZMb73sOHD7O0LVL2011LfvrpJ6XKZKlSpXjs2DGWLVuWnp6evHnzJqOioli3bl3a2Njw6tWrvHPnDj08PP40eULGlCT9PTJx4l9G93AWHx/P5cuX08PDg0II/vLLLyT/6Dw9fvw4fX19KYSgiYkJy5YtyyNHjrx3Ht1/U1JSlEElKffI/LB///59ajQaPn78mFWrVqUQgidPniRJRkVFcdGiRTQzM2OtWrWYlpbGY8eOMV++fHoDkh/qcNVqtaxfvz4LFCjw0RL5Us6ie1Hw8fF574Xx/PnzrF69Ok1MTPjbb7+R/KMijoeHB7ds2aI8KCYnJ7Nnz560sbH5YPJEeno6AwMDlSoCUs6T+Rq1Z88eurq6Uq1Wc8+ePUxISOCAAQMohGDt2rWVgcTExESOGjWKQggWKFCA1tbWjI+P/9Pfk5aWxuTkZKalpcl7oSRJ/xpyoFv6FGQcSZL0T8TGxnLTpk20tLRkx44dSf61wcjbt2/T1NSUQ4cO5ZUrV5S+hz+rjCqXO8sdZExJn5qMKelz0iVNODg4KIk1z58/p5WVldLH+fjxYwYEBHDkyJEkydatW9Pc3JyrV6/mmzdvSGZUmHBycmKrVq344sWLbGuPlL0y93+uXLmSVlZWdHFxUbb16dOHQgiWK1eOPj4+tLOz46FDh5R3ucDAQCV5ws/PTzlOVoGTpH9GJk78i+guhElJSZw/fz6dnZ1ZtGhRCiFYs2ZNxsXFMTU1Vdlv9erVNDQ0fK/0+LsXzMjISC5YsIDbtm2TA5C5SOYb8t69e+nj48OZM2eSJIcOHUohBAsWLMhbt26RzEie+Omnn2hoaMgyZcqwTJkyLF26tN75tFot09PTlRjUarVMTU3lzp07efHixfeWa5ByprCwMM6aNYtqtZrdu3fnkydPSJIXLlygr68vTUxMlJLQYWFhtLKyooGBAdevX6+cI3OsNGzYkBYWFmzZsiVfvnyZtY2Rsk3ma9SOHTtYrFgxli1blkIImpqa8siRI0xLS1OuV7Vr1+aLFy+o1Wq5bt06Ojg4KBna5cqVY5s2bbh582aeOnWKN2/e5M2bN3nq1CmOGDFCWS5GkiRJkiRJkqT/bv/+/bS3t6ebmxu1Wi2fPHnylwYjHR0daWVlpQwy7ty5k3Z2drSwsFDK40u5k4wp6VOTMSV9LpmTJnR96WTGstZlypShpaUlz507x9TUVObJk4dCCJYuXZrm5uZcv369MjEsODiYTk5OLFWqlN6EVyl30fV/pqamcs2aNfT09FT6M2/fvq3s16dPH6pUKhoaGjIgIEA5VnetunXrFt3c3Ghubs4lS5ZkfUMkKQeRiRP/EroLaGJiIufNm0cXFxfWqlWLZEYZMAcHB0ZFRSn73717lzY2NvTy8lKSKzJnm2Uudz937lwKIThw4MAsbJGUnTIPSO7cuZOFCxemkZERLSwslOoluuU1XFxcGBgYSDIjc7ZNmzZKQo6Pjw8PHjyoJFe8e/5jx45lUYukL01ycjL9/PyoUqnYtWtXbt26ld988w3z5MmjDFJrNBreu3ePzZo1o7GxMX/++WdqNBq9mY9XrlxhlSpVlAfGsWPHypmRuczOnTtZvHhxNm3alLdv3+b69etpZGREa2trJXli2LBhSvLEqlWr6OLiwkKFCtHLy4sNGjRgmzZt9F48hBA0MzOjkZERhRCcM2dOdjdTkiRJkiRJkv41YmNjWaxYMRoZGbFDhw4sXrw4PT09GRISQpKcMGECDQ0NeejQIZLktWvXaGZmRnt7ewohuH37duVcCxcupBCClSpVUvoepNxHxpT0qcmYkj6HV69ecfLkycybN69e0sTly5fZtm1bmpqaUgjBGzdukMxIxrGxsaFKpWKLFi2UKqePHz+mo6Mjv/76a6UiLymXjc1tMidNrF+/ns7OzixTpgwXL15MIYSynHBwcDAbNmxIExMTqlQqVq1aVRmP0Wg0TEpKIplR6VkIoVTZkSTpn5GJE/8iycnJnDhxIh0cHFizZk2l9LhuwGjHjh0kyYsXL9LOzo5lypThb7/9xtOnT7Ny5coUQujd0F+/fs358+czb9687NSpU3Y0ScpmO3bsYPHixfndd99xyZIldHFxoaWlJX/99VeS+skT169f57Vr15gvXz4aGBhQCKHElampKcuXL89GjRqxXbt2/Pbbb1mhQgUWLVqUr169yt5GStkmPT2ds2bNorGxMQ0NDWlubs4zZ86QzFhbTffw9+TJE7Zr144GBgb86aeflMo3p0+fVpImtm3bxhUrVvDBgwfZ1h4p6928eZNFihRhwYIFuW/fPmX70qVLaWxsTBsbG6WTY9iwYVSr1RRCsEqVKiQzZo84ODjw+fPnfP36Nbdt28apU6eyQYMGbNiwIRs1asTvvvtOdnxIkiRJkiRJ0l+kq2IaHR3N6tWrUwhBGxsbPn78mOQfa3P/5z//IZlRPtrU1JQTJkxQOvSnT5+ud86RI0dSCMFu3boxOjo6axskZTsZU9KnJmNK+lxu377NEiVK0NTUlNeuXSOZMemrXr16zJ8/vzKZRzdOo0umcHFxoZmZGZcuXcrIyEjmzZuXFStW5IULF5Rzy6SJ3CklJYVr1qyhk5MTixcvzoSEBAYGBioToZ89e8ZatWrR1taW586d49ixY6lSqVilShXevHlT71y661TXrl1lZXlJ+h/IxIkvXOYb5uPHj1mrVi2WLFlSySIjyS1btlAIwdmzZzM2NpaOjo50c3Pj/v37lX1OnjzJSpUqUQjBn376icnJyZw/fz4dHR31kibkTO7c49ChQyxUqBCbNm3K69evk8xYSiFv3ry0srJSkid0LxMODg60s7NjtWrVeO3aNVpYWNDPz4/37t1j3759WbZsWVpaWiqzuQ0MDFikSBFlzTYpd0pMTOTIkSNpYWGhVJoICgqimZkZK1WqpJQcCw4OZocOHWhgYEB/f38eOXLkvXUk5QtE7hMUFMTOnTtTCMExY8bw9evXShz4+flRCEFbW1vu37+f+/fvV5au0r0cnDt3Tjn2Y2RcSZIkSZIkSdLfoxuUjImJ4TfffEO1Ws2xY8dy0qRJSp9AdHQ0nz59Snt7e5YqVYpJSUmMjIykm5sbq1Wrxvj4eGXm7evXr+nh4UELCwvev38/O5smZRMZU9KnJmNK+hzi4+O5evVq2tvbs1y5cty9ezcHDx5MFxcXpcqEi4sLZ82axU6dOtHMzIzbt2/niRMnWLp0aZqamtLc3JyVK1fmtWvXlGUWZN9U7pSWlsYlS5bQ0dGRxYsXZ1xcHMmMyib58uVj06ZN+f3339PW1lZvQtmYMWPeS544ffq0sjTMpUuXsqU9kpRTyMSJL4wucUH3cJdZWloaL1y4oAwIpaWlMTo6msWLF6cQgj/88APfvn3LefPmcefOne8df+rUKWX2dqNGjejk5CSTJnKplJQUDhw4kIaGhixfvryyXavVMjAwkA4ODvTw8OCqVauYnJzMtm3bKmXwdfHn6+tLd3d3xsTEKA93ERERDAwM5K1bt/j06VM+evQoW9onfX4feqD/2EN+SEgInz17RjIji9/W1pZWVlY0Nzdn7dq1lYz/kJAQduzYkSqVivnz56dKpeKuXbtIZlyf5EtE7hQUFMSuXbtSCMHBgwczNTWVz58/p6enJ93c3GhoaEgHBwc2bNiQ3bp100ssfPPmDd3c3NigQQNl27uxJONKkiRJkiRJkv6+zDO6dX1NlpaWbNeuHfPmzcuBAwcqkyt8fHyU4xo0aEBvb28mJCQo22JjY+nu7k5XV1eljL6U+8iYkj41GVPS55CcnMzNmzfT1taWtWrV4po1a/j777+TzJhAVqpUKQoh6OjoyF9//ZWvX78mSe7du5eGhoY0MDBgnz59lPPpknOk3GnQoEH09vZW4iQ9PZ1v376ll5cXhRBUqVQ8fPgwSepVkcicPKGbmBgWFsbTp09nfSMkKYeRiRNfkMyDN23atKG/v79ywXxX5iQH3aC2t7c3X758qfe5VqvV23ffvn10d3enEII9evT44Pmk3OHly5fKTO46deooMfDixQs6OTlRpVLR0dGRM2fOpIuLCytXrqw3IDlt2jQaGxsrZcmk3Onhw4e8devWnw4+615Ub9++TWtra3p4eHDr1q08dOgQra2tWb9+fb3kiZ49eyplxXTk4HbuoPs7p6enK/czknzw4AH79Omj3Lvc3d1Zvnx5Pn78mMuWLaOFhQVdXFy4ceNGkhn3tLS0NGo0Gvr6+tLBwYERERHZ0iZJkiRJkiRJ+rf72PuY7l3vzZs3/Prrr3njxg1euXJFmc09YsQITp48mWZmZsrzfceOHWlmZsYnT54o52nWrBmFEOzZsycTExM/f4OkbCdjSvrUZExJWSk1NZXbt2+nlZUVq1atyqtXryrVI6pUqcK8efNy5syZytjOkydP6OTkxBIlStDd3Z1mZmb86aefsrMJ0hdEt/yP7nql0WhYvXp1GhsbUwjBevXqKftmHp8ZM2aMsmTx1atXSf4xHij70iXpn1NB+mIIIQAA8+fPx+bNm3H48GEYGhp+cF+VSgWtVgsAWLBgAfLnz4+HDx+idevWePr0KVQqFdLT0yGEgEqV8WeOiYlBaGgoXr9+jd69e+OXX34BAGi1WmUfKeciqfw3PT0defPmxZw5c9CnTx8cO3YMjRo1wvPnz1GtWjUUKFAAy5cvBwCsX78ejRs3xv79+5EnTx4kJiYCAEqWLInU1FQcPnxY7/xS7nHz5k307t0bQ4cORVhY2Af30Wq1UKvVuHfvHqpXrw4bGxvMnDkTLVq0QL169bBu3TpcuHABPXv2RFBQEAoUKIBRo0bhhx9+wK+//oqAgABotVrl+ijlXCQhhEB6ejoOHjyIdevW4fXr1wAALy8vDB8+HH369MGaNWvw9u1bzJo1Cx4eHujZsyf8/PyUe9vmzZuhUqlgYGAAlUoFS0tLpKamIi0tLZtbKEmSJEmSJEn/PhqNBkIIJCYmIjk5We8ztVqN9PR02NjY4Ny5cyhTpozybjh27FjMnj0bzs7O0Gq1Sp+Bvb090tLSkJqaCgA4dOgQrl27hvz582Ps2LEwMTHJ2gZKWU7GlPSpyZiSspqhoSGaNGmCVatW4e7duxg2bBgePHgAAPj+++8xZswYtGnTBra2tggJCUGlSpVQsGBBbNu2DVu2bEGhQoUwfPhwzJ49O5tbImWVzGMzunE93TYrKyuQhFqtBgBlrM7Q0BAdOnTAkSNH8O233wIA8uTJg5SUFADA9OnTMWrUKJw/fx4DBw7ElStXlPFA2ZcuSf+cHC3/wty4cQOrVq1CsWLF4O/vDwsLC+VCqqO7oOouoLokCUNDQ9y6dQs//PADgoODYWBggPT0dADA27dvsWLFCkyaNAnNmjXDkiVLAMikidwi84Dk+fPnERcXByDjRWDKlCkYMGAADh06BHd3d9jY2GDt2rXo2rUrdu/ejYiICOzYsQMbNmxAWloaTE1NAQB58+YFALx58wYA5M04F8icHBMUFAQ/Pz+cPHkS1atXR4ECBT54jEqlQmhoKCpWrAgAmDdvHlq1agUASE9PR6NGjbB9+3ZcuHABo0ePxrlz5+Du7o6xY8eiffv2qF69urxG5WAajQYAkJaWBiEENBoNjh49iilTpmDEiBE4e/assq+7uzsGDx6Mvn37IjY2FgcOHEB0dDQAoHfv3pg/fz4SEhLQsWNHrF+/HkDGPS45OVm5BkqSJEmSJEmS9NfpEuFjYmJQq1YtNGvWDElJSXr7GBgYKPsCQGhoKACgbNmyAICwsDCYmZnB3t4eABAbGwtra2s4OjoCAGrXro3g4GBcuXIFBQsWzJJ2SdlHxpT0qcmYkrKLgYEBGjduDH9/f1y7dg3Dhw9HXFwcfvzxR3Tr1g1ubm549uwZKlSoAHd3d/z888/w8vJC+fLlsWTJEpQoUQKNGjXK7mZIn1FMTAwePHiAoKAgBAcHIzY2Fm/fvoVKpUJMTIwyQfXdfsvk5GTExcXB3d0dU6dOxaBBg/SSJ4yNjZXkiRkzZmDkyJG4cOECBg4cqPSDSpL0z8nRqC+A7kKWnJwMPz8/hISEYOvWrcifPz/S09OVQcPIyEgAGQPUumM0Gg1SUlJAEhUqVEDbtm1x/vx5dOzYEc+ePYOBgQHCw8OxbNky+Pn54dtvv8Xq1asByKSJ3EI3W1+j0eDw4cPo3bs3evTooXxuZ2eHCRMmoG/fvjAzM4MQAkWKFAEAVKpUCbt374YQAn5+fvDz83svI/LdxB4p59H9jXUPcIGBgZgzZw4OHDiAgIAAjBs3DgDem9GvS9y6ceMGChQoAI1GAwcHB2Vf3YurkZERChYsiAMHDmD06NE4duwYvLy8lCQyKWfau3cvBgwYAK1WC0NDQ6SlpeHo0aMYOHCgkvw3fvx4PH36VDnGy8sL/fv3VxIlpk6ditevXyM9PR33799XEgYXLlyIsLAwqFQqJCYmwsLCQkn6kiRJkiRJkiTpv9P1GcXGxmLQoEG4dOkSHj16pLznvUtXMfXu3buwsrJSkudDQ0NhaWmpHBcSEgI7Ozukp6frVRfUTc6Qci4ZU9KnJmNKym66yhN+fn44fvw4Bg0aBAAwMzPD7du34ePjAzc3N/z888+oXLmyMgG2SpUquHz5MooXL57NLZA+p8DAQJQtWxalS5eGh4cHihYtipCQEMTGxmLq1Kno2bMn4uPj35vspas8ERsbC1dXV4wZMwYDBw78aPLEzJkzMWLECCxbtgx58uSRk8ck6X+VpQuDSO/JvNbQmDFjaGxszF27dpGksi4WSYaEhLBr165s0aLFe+e4d+8e1Wo1O3ToQJIcMGAADQ0N6evry0ePHvHMmTMUQrBt27bKMRqN5nM1SfoCBAYG8sGDB8rP6enpPHjwIEuUKEEhBFUqFXfu3EnyjxiMjIzkgAEDKIRgnTp1lGPT0tL43XffUQhBU1NTLl++nCR58eJFCiE4cODArGuYlC127tzJAwcOkMy43rRv354ODg7s2rUrL1++zEuXLjE1NZVkRrzs2rVLb71HjUbDgwcPskyZMnR0dOTJkyeVz06fPs2qVatSCMHx48fTzMyMDRo0YEJCQpa2UcpasbGxLFmyJIUQ3LhxoxIj3t7e9Pb2ZkxMDKdPn04hBBcvXqx3PyTJx48fs2/fvhRCcNCgQezSpQvz5MnDffv2cdeuXVy/fj01Gg2vXr1KMzMzlihRQlkvUJIkSZIkSZKkD9P1D+iev2NiYtitWzcKIVizZk1lXe2PrZudlpbGypUr093dnZGRkYyJiWGZMmXYuXNnkmRoaChtbW05ZMiQLGiN9CWQMSV9ajKmpC9RVFQUR40aRSEEp0yZwtTUVBYsWJBFixbluXPnlP0yx+XHYlT699ONvSUkJHD69OmcMGECmzRpwi5dunD79u0cM2YMjYyM2KlTpw8e//jxY1pYWNDV1ZWRkZEkyYiICPbr149CCPr6+ir7pqenf/b2SFJuY5DdiRu5nS77a/HixZg5cyZ+/vlnNG3aFFqtVpmNHRYWhqVLl2LDhg3o2bPne+eIioqCgYGBMpt24cKFUKlU8Pf3R8eOHTFr1ixs3boVzZs3ByArTeR0Z8+eRfXq1dG2bVusWbMGJJWMVwMDA2zbtg1dunTBpk2b0KhRIxgYGECr1cLe3h4TJ06EEAKLFi1CnTp1cODAAQwbNgyHDx/G+PHjceXKFWUdv9OnTwMAnJ2ds7O50md2/vx5fP/99zAyMkLPnj0RGxuLPXv2oE+fPjA0NETVqlXh5+eHihUrIj09HatXr8bAgQPRunVr/Prrr8r1pl69ejAwMMDIkSPRqlUr7N+/HxqNBmPGjMH58+exfft2NGvWDLVq1YKLi4usDpDDWVhYwN/fH/Xr18fOnTthZWWFwYMHQ6vV4uTJk7C0tESPHj2wZ88eGBoa6q0DKISAh4cHhg4dCq1WC39/f2g0GixbtgwNGzbU+z1ubm4YPHgw6tWrBysrq+xoqiRJkiRJkiR98e7fvw9HR0eYmprC2NgYBgYGiI6OxpAhQ7BmzRo0bNgQ27Ztg7GxMYCMvqyUlBTlZ527d+/i2bNnqFOnDuzt7XH37l3cunULXbp0AQA8e/YMcXFxKFy4cJa3UcpaMqakT03GlPQls7OzQ/fu3XH37l3MmDED8fHx6N+/P8qVK4fKlSsDeH85BlkVIGd69eoVbt68iSJFiijVInRiYmIwa9YsrF69Gm3atPloZXhra2tUrVoVderUgaWlJbRaLRwcHDBhwgS8ffsWmzZtwuXLl1GxYkWlOoUkSZ9Q9uZt5E66jDNdVuGzZ8/o4OBACwsL7t+/X2/fsLAwTpgwgfb29uzdu7eyPXMm2evXr3nw4EGGhIToHaubjevm5sbg4GC93y3lXNHR0SxfvjxdXV35+PFjnj59mp6envT09GRoaChJsn379jQ0NOT169eV43Sx8fr1aw4cOJBCCObLl4958uRRqlNERUUpcbt48WK6urryypUrWdtAKUudO3eOo0ePpqGhIYUQNDY25s8//0ySXLhwIYUQ7NmzJ5OSkrh06VI6ODiwUKFCetcjXcxotVoeO3aMX331FS0tLZUKKNu3b9fbT8q5MleOSElJUa41NjY29Pb2ZlhYGEkq16bExETGxcV99Hx37txh3759aWhoyL59+zI2Nva9feR9T5IkSZIkSZI+7vXr16xQoQKLFCnCLl268NGjRyTJrl270sbGhuXLl2d4eDjv3r3LjRs3curUqWzYsKFSLTWzFy9e8Pbt27x37x7T09M5ePBgOjo68sWLFyTJRo0a0dPT80+f8aV/PxlT0qcmY0r6XD7WF/lP+yhPnz5Na2tr+vj48OzZs//z+aR/l4SEBM6ZM4fOzs6cPHkyyT/6JcPDwzlmzBhaW1uzY8eOyjGZqzbraLXa9/o4dTH04sUL3rx583M1QZIkyooTWY4kVCoVSGL48OFo2LAhKlasiGXLlqF3796YOnUqzM3N4evri4iICAQEBCAgIABv375FZGQkQkNDkS9fPr1MMltbW2VtIwBIT0+HgYEB/P39ERUVha1btyItLQ0AZKWJXMDMzAw9e/ZEr1690L17IJSOrwAAdyxJREFUd7x48QIkcerUKeTPnx9arRajRo1CmzZt9KpFqFQqaDQa2NraYsKECUhJScGWLVvg7e2N7777DkBG9qxO27Zt0bRpU+TPnz+rmyhlAf5/FrSPjw8cHR1x5coVnDx5EgsXLlQq3/To0QMbNmzA6dOnsXz5csyYMQMWFha4ePEi7O3todFooFarIYRQzlezZk34+flh+vTpOH36NKZNm4bvv/9eb81IKefR/f3Pnj2LPXv2YPDgwXB1dUXLli2xZcsWaDQabNu2DS4uLjh8+DDq16+P0aNHY/r06QCA169fY8WKFahfvz6sra1RsGBBAECxYsXQt29fhIWF4dChQ+jduzdKliyp97vlfU+SJEmSJEmSPi4xMRGJiYm4f/8+Hj58CK1WC61Wi/Xr16Nu3bqws7NDlSpV8PTpU73jSpcujaZNmyo/k4Szs7PSzxAWFgYHBwfUqVMHzs7O2LlzJy5cuIAePXrICoM5nIwp6VOTMSV9ajExMRBCIDExEcnJybCwsEBycjJcXFwA/FENgu9UifhvfH19MXnyZAwePBjnz59H1apVlbEaKeczNTVFqVKlIITAggUL0LhxY3z11VeIiIjAokWLsHTpUjRt2lSpNBEaGoqLFy+iWrVqcHJyUs4jhICFhYXeuYUQ0Gq1etewvxufkiT9NYL8//rXUpaaPXs2xo0bh86dO2Px4sUwNjbG4cOH0a5dOxQuXBjDhg3D9evX4e/vj86dO8Pb2xtDhw5FjRo1sGjRInh4eAD4+MVRN2AJAC9evEC+fPmytH1S1gsKCoKpqSkKFSqEmJgYNG/eHCdOnEDJkiVx6NAhODs7Y/Xq1bh48SJmzZoFa2trABkPinFxce8lQLx8+RJjxozB6tWr0blzZ6xatSobWiVlt8DAQMyePRv79u1THvwBKOUOf/zxR/z8888AMpZFuHz5Muzt7T/4UqC7XpHEwYMHMW3aNFy7dg2nTp1SytZJORdJ1KxZE6dPn8amTZvQokULqNVqTJo0CTNnzlTi4PLly/jxxx9x584dDBkyBBMmTIC/vz8GDBgAY2NjWFlZoVmzZvD09ESHDh2QN29e/P7774iJiUGpUqVk54YkSZIkSZIk/U3h4eEICgrC+vXrERoaips3b6JixYrYv38/xo4di5MnTyJv3ryoU6cOUlNTYWlpibp168LNze2/nlv3Hrhp0ybs3r0bkyZNQpEiRT5/o6RsJWNK+tRkTEmf0qZNmzBz5ky8efMGiYmJMDc3R1paGipVqoSiRYuiTZs2KFCgAGxsbJRj/tvy57o4ev78OerVq4eIiAhcvnz5L8Wg9O/1ofG5hQsXYvDgwRgzZgy6dOmCX3/9FQEBAWjcuLGSNBEeHo7169fjl19+wfLly/HNN9/IRAhJ+lJkYXUL6f/dvXuX5cqVY6VKlfj8+XO9z44cOUI7Ozva2NjQysqKY8eOJUm+ffuWs2bNoomJCRs2bMjHjx//19+TeTkPKWfSlWgKCQlhkSJFWLNmTd69e5ckGRgYSAsLC/bq1UvZt0qVKhRCcNSoUXz79i1JskWLFixYsCD79u3LBQsWMDQ0lK9evSJJPn/+nIMHD+bGjRuZnJyc9Q2Uslzm0nFBQUHs2LEj7e3tuWDBAmV7SkqK8u+ffvqJQggWK1aMUVFRJPWXY/jY+bVaLbdv386KFSvy3r17n7oZ0hdow4YNtLW1ZZcuXZiUlKRsf/jwIfPly8caNWoo5ekCAwPZoEEDmpubc+7cuUxLS+POnTvZq1cvurq60sDAgEII9u/f/73lryRJkiRJkiRJ+ut073fR0dHs3LkzraysWKtWLeWZ/ffffydJXr58mSNHjmRAQIBy7N95BtdoNB8sRy3lPDKmpE9NxpT0qXXr1o2mpqb08PBgyZIlWb58eTo6OtLIyEhZvrpkyZJcs2bNe8siZO7b/Fh8tWvXjkIILly4UC4hm4Nl/vtHRETofdamTRtaWVmxbdu2tLW11Vue49WrV5w6dSpNTEwohODAgQOz7DtLkvTfycSJLJL5Itq1a1daWlry/v37evvoBrKPHj1KZ2dnOjg48MGDB8rnERER9PPz+1vJE1LuMG7cOAohOH78eMbHx5Mkk5KS2LFjR5qZmemtqda0aVPmyZOHI0aM4MuXLzl+/HgWLlyYQggKIejo6MjixYsrg9nJycl6A+VS7hAUFMT27dvT0tKS/fr1o5+fH9etW8ejR4+SzEjMWrZsGZ2dnVmoUCG+fv2a5J8nTehkfsF4d702KWfR/a2joqLYqlUrGhkZcdmyZXr7pKamsmnTpjQ3N+eBAweUF8pbt26xYcOGNDY25qxZs5T9Hz9+zBMnTrBNmzb85ZdfZMKEJEmSJEmSJP1Dumfv6Ohodu3alUII1qtXTxmMTEtLU/YJDAykEIKNGzfOtu8rfflkTEmfmowp6XN49eoVIyIimJSUpPQrBQcHc+zYsTQ2NqaTkxNtbW0phKCdnR179+7NNWvWMCwsTOkDJTOSetLT03nq1CmePHmSoaGhJMmXL19y+/btyiQzKWfr2LEjGzRowIcPHyrbjh49Snt7ewoh+MMPPyjbdUkTQghOmjSJjRs3Zu3atd87p+zvlKTsIxMnstiyZcsohOCZM2f0ti9ZsoQDBgxQLq6bN2+mmZkZGzduzGfPnin7RUZGyuQJSc+NGzfo4+PDkiVLvlfBZM+ePRRCcMKECXoVSHSDkaNGjWJaWhq1Wi0vX77M4cOHs2rVqrSxseFvv/2W1U2RvhDXr19nnTp1aGFhwfnz5/PGjRtKYo0QgnPmzOGSJUtob29PDw8PRkZGkvxrSRM68uEvdxk3bhwNDAxoamrKEiVKcOvWrdRqtYyJieGyZcs4Y8YMNm7cmNeuXWNKSgrj4uKYlJTEx48fs2HDhjQzM+P48eP1zqlLNpQkSZIkSZIk6e/TDTTGxMSwc+fONDY2ZpMmTZSJE+9OoHj16hULFSrEAgUK8MWLFx99p0tOTlYqVspZtrmLjCnpU5MxJWWFzH3mO3fupFqt5oABA3jo0CGOHz+ednZ2Sp+os7Mz3dzc2KBBA9asWZMlSpRg+fLlKYSgra0tr127lo0tkbJL586dKYTgunXrSGZci0aOHEkbGxsKIbhmzRqSZHh4OKdMmUIhBKdNm0aSnD17Ns3NzRkeHq5cjzLHpG7SoexLl6SsIxMnstD9+/fp6upKIQTPnTunbJ87dy49PT1pbm7ODh06MDg4mGRGMoWxsTG7d++ud553kycyZ7JJuUPmG2Xfvn0phKC1tTVPnjypvDS8fv2aN27cYNOmTVm5cmUmJyczNTVVOa5x48Y0MjLiiBEjlIHv9PR0arVa7ty5U7445GLnz5+nEIJTpkwhmZHVv3DhQs6cOZOlS5fmwIED6eHhQXd393+UNCHlLmvXrqUQgvPmzeP169fp5ORELy8vbty4kUOHDqUQgrNmzVISAY8fP86yZctyyJAhJDMSeRo2bEhzc3NOnjxZOa9cokOSJEmSJEmS/hldh3xsbCy7detGQ0NDFilShBs2bOCGDRs+2h8wbNgwmpiY6FVHJf94No+KiuKKFSv4888/f94GSF8cGVPSpyZjSsouvr6+9PLyUipL3Lt3j/v372fjxo1ZqlQpCiGoVqv1JpkJIWhpacmTJ0/KfqpcRHddiYiIYKlSpVi7dm2+fv2aEyZMoI2NDb/77js6OTmxVatWjIuLUypNzJw5UznHhg0bKIRQqpVkNnfuXI4YMUIuISRJWUwmTmSxBQsW0M7Ojqamprxx4wZXrlzJ0qVLs3379uzRowdtbW3Zs2dPPn/+nFqtlpMnT1ZmeGcWFRXF2bNnM0+ePGzSpAmvX78ub8q50OLFiymE4Lhx4+jr60tbW1vu3r2b0dHR7N27N42MjLhmzRqlwsmRI0c4adIkpZxdgwYNaGJiwuHDh+uVGdORyRO517svmDpTpkxhgQIFWLBgQWXtNpk0IX1MVFQUhw8fzooVK/LSpUskyTt37tDR0ZE2NjZUq9UcM2YMY2JilGNu3LjBvHnz0svLi3FxcST/WLbDwsJCL3lC3vckSZIkSZIk6e/JXPa+S5cuVKlUbNKkCY8cOUI3NzcWLFiQ5B/P2hqNRjlm4cKFH6yiSpKPHj3iwIEDmTdvXpYsWZJhYWFZ1CIpu8mYkj41GVNSdtDFkW6Sz7vjMVqtlm/fvuWBAwe4efNm+vn5cerUqZw/fz5Xr17NVatWZdM3l7Jbamoq/fz8aGZmxgYNGjBPnjxs164dSXLMmDEUQrBdu3YUQnD69OkkqVQBP3XqFIUQvHHjBsmMijjh4eHs0KEDhRAsX748X758mV1Nk6RcSSZOfCaZy+mQ+gPQy5cvp4ODAw0NDVmoUCF26tRJeVAbOnQobW1t2bdvX2XNrCZNmtDJyYmnTp3SO+erV684bdo0CiHYpEkTZTBcyh3Onj1LFxcX1q9fn8+fP2dgYKCSPNGsWTMaGBhw8ODBfPToEcmMUlC6slGbN29WztOoUSOamJhwxIgRfPPmDUmZMCH9QVelJCUlhStWrKCdnR3d3d1l0oT0t7y7pmP//v0phKC7uzvXrVvHkJAQHjt2jA8ePKBGo1E+DwgIUK5HN2/eZMOGDWliYsLZs2dnRzMkSZIkSZIkKUeIi4vjd999RyEE69aty8TERN6+fVvpoCep9EFl7t+6ePEihRDctGmTsu3p06fcsmUL8+XLRyEEPT09OX78eDk7MpeRMSV9ajKmpOwSGBhIc3NzdunSRdn2d/rK5SSf3OnWrVu0sLCgEIItWrRQtu/du1epStKgQQO+evVKb7mgW7du0cTEhNu2beOtW7c4ePBgurm5Kde6d8cEJUn6/AwgfXLh4eE4deoUKlasiEKFCgEAVCoVtFotVCoVunfvDiEE5syZg0ePHuGnn36Ci4sLAOCnn36CmZkZ/Pz8kJCQgKVLl2LgwIFo2rQpdu7cierVq0Oj0UCtVsPR0RGdOnWCVqtFixYtkCdPnuxstpTF3N3dsXjxYjg7OyNfvnzIly8fpk+fjk6dOmH37t1o3bo1pk2bBpVKBQBwcnJC+/btsWbNGmzZsgV169aFtbU19u7di8aNG2PBggUQQmDUqFGwtrbO3sZJ2YYkhBDKz4aGhkhPT8cvv/yCn376CVZWVrh27Rqsra2Rnp4OAwN5G5E+LHMs2dnZAQAiIyMxceJELF26FADw7NkzLFu2DNu2bcOePXtgamqK5s2bY/Lkydi0aRMOHz6M3r17gyRKly6N6dOnw9fXF0ePHkWvXr1gZWWVbe2TJEmSJEmSpH+r58+f4/79+/jmm2+we/du5MmTB/Hx8TAwMECBAgVw4cIF1KpVC76+vihZsiRatGgBW1tbREREAMh4jj916hROnDiBHTt24PfffwdJtG/fHqNHj4arqytMTEyyuZVSVpIxJf0v3u2LIiljSso2lpaWMDMzw86dOzFmzBh4enoq/et/ReZYlnKPPHnyoFKlSjAyMsKvv/4KAEhLS0O9evVQoUIFXLlyBQcPHkS+fPng4OCA/PnzI2/evAgNDUVycjImTZqEO3fuAAC++eYbTJ06Fd9++y3s7e2zs1mSlCvJEa9PLCwsDH5+ftiwYQPmz5+vJE4A+skT3bp1gxACkyZNQvv27XH8+HFUqlQJAFC8eHGkpKTA2toakZGRqFWrFrp27YpffvkFffv2hbe3t/JAmT9/fowePVoOXuYyJOHi4qIk3ABAbGwsdu3ahadPnwIALl26hL1792L37t0IDQ1FlSpV0K9fP3Tu3Bk7duzAq1evlASJvXv3ok6dOggICICPjw+aNGmSHc2SspjuOqLRaPDmzRs4ODhACPHeC2tQUBBWrVqFkJAQ7NixQ4kbed2RPkQXP+++KCYnJ2Px4sVYvnw51q9fj8ePH2PixIk4d+4cihcvjrZt28LV1RWlS5dG3rx5UatWLWzdulVJ7gKAHTt2IC4uDtbW1jA2Ns6O5kmSJEmSJEnSv4auD+pdhQsXxo4dO1CoUCEYGhoCyEia12q1cHR0hIeHB2rXro3AwECcOnUKAQEBIAlPT08AwJgxY2BgYID09HTY2Nhg2LBh8PX1RcOGDbO0fdKXQ8aU9E9l7oO6cOECKleuDCGEjCnpf5aamopjx46hWrVqsLCw+MvHubq6onbt2ti9ezdiY2M/4zeU/m3+LKa8vb2xaNEiWFtbw9zcHCSVa5e7uzuuXr2K5cuXIzY2Fr///juePHmC0NBQPHnyBAYGBnB2dkbHjh1RunRp1KtXLzuaJ0nS/5OjXp9QaGgo5s+fj+3bt0OtVqNu3brv7aNSqZSKEV27doWBgQFGjBiBWrVq4dq1a7h37x7atGmDdu3aoWfPnihQoAAAoH79+vD398fKlSsxe/ZsvYdKOXiZu7w7qA0AUVFRGDlyJDZu3IgePXrg4MGDePr0KQYPHozSpUsjOjoaq1atwrfffotvvvkGq1evhp+fH5YuXarcwIsXL47jx4/jzZs32dEsKYvp4ig9PR0HDhzAuXPnULduXdSqVeu9+HJzc0Pr1q0RGBiINWvWoECBAihXrlw2fXPpSxYSEoK3b9+idOnS732WJ08e5M+fH8uXL1fi6eDBg9Bqtbh//z7UajUaNWqEVq1aQQiBNm3aYOvWrbh8+TJq166NmJgYHDt2DB4eHpg8ebKssiRJkiRJkiRJH6FLmDh37hzWrVuHzp07o3z58jAyMlL2KVKkCAAolQQfP34MrVYLtVqNvHnzYuPGjQCAbdu24cWLFwgNDcWxY8cAAN26dYO1tTXq168Pd3d3uLu7K+f9UJ+FlDORRHR0NGxsbABkJE/o+hlkTEl/RebkLj8/P4waNQr79u1DgwYNAMjrlPTPkcSoUaPw888/o1OnTli1atVf+pvrYsPBwQEJCQm4cuUKypYtK2NG+tOY0l3LChcurOwvhFC2V6pUCVu2bIGZmRm6du2q7KPRaNCqVSuEhobil19+gZubm97vkzEnSdlDjrh/Is+fP8f8+fOxadMmvHr1CoUKFVJeHN69yKnVaqSmpsLIyAg//PADUlJSMHz4cJQuXRppaWno1q0bfvzxRxQtWlQ5platWihSpAguXrwIAH+rPJSUM0RERMDR0fGDN8z4+Hjs3r0bfn5+aNmyJWJiYrBv3z6YmJjg4sWL2LRpE2xsbFC5cmUkJSVh3rx5OHr0KF6/fg0nJyesXbsWCxcuhJubG2rVqpUNrZOyku6FU6PR4NixYxgzZgzu3r2L69evw9DQEL6+vnr729jYoF+/ftBqtRg/fjwsLCwwa9Ys5MuXL5taIH2JXr58ifXr1+O3337Dpk2bYG5uDrVaDeCP+2CPHj2Qnp4OtVqNr776Cp6enrhx4wa2bduGLl26YPTo0VCpVGjZsiVq1aqFYcOGoX379jAxMYGJiQl27dqF2NhYvWpOkiRJkiRJkiT9gaTSZzRx4kScOnUKlSpV+mjyu24yzu3btwEADg4OADJKlRsYGKBnz57Kedu3b4+TJ09i2LBheoMDmclO/tyBJK5evYpVq1ahRo0aSgI8SRlT0l+SOWliwYIFGD16NPr27atUjMhMxpT0d5BEv379sGHDBgwfPhwBAQEwNDREQECA0k/1Z8cKIZQJQaGhoQBkzOR2/y2mPjZWp9uuS4h4+fKl3uePHz/GgQMHMGTIEL2kCUDGnCRlJ5k48Qk8f/4cc+fOxYoVK9CuXTuEh4fjzZs3MDY2VhIkgIzs1ytXrmD27NkwMjJSPuvRowcSExMxZcoUaLVaNG/eXEmaIAkg4wHR3d0dJ06cwNOnT/WyZKWc79WrV1i3bh3KlCmD2rVr6yXjkISbmxtu374NGxsbGBsbo0uXLti+fTuaNWuGJ0+eoFOnTggICEBycjJMTExQu3ZtHDhwANHR0XByckKTJk0wZcoU1KxZU6lyIuUsDx8+RFBQEBo1agQjIyOkpaXh+PHjGDhwIIQQmD17NkaOHIkiRYqgbNmyMDc31zve3NwcXbp0wfPnz7FkyRKUKlUKw4YNy6bWSF+ayMhIrFmzBnPnzoVKpdJLmgD0H/YNDAyUa9jYsWNRokQJ/P777zh9+jR8fHwwZswYqNVqtGjRAn5+fspxWq0WDg4OSgeJJEmSJEmSJEnv0z17L1y4EFeuXEGvXr3QvHnzjy51p9VqAQC+vr7YuHEjKlSoAOCPgUrd4KYQAs+ePYOjo+N7nftSzpaSkgJjY2MlFkjixo0bGDp0KH777TecPn0a1tbWqFu3rjLDFpAxJX3cu0kTQ4YMwdChQzF48GC9ZYnfPUbGlPTfkET//v2xbt06XLt2Dd7e3ihYsCCGDBmCuLg4/PLLL3+6bIcuLp2cnAAAcXFxWfK9pS/X/xpTAJTxQV0iju6+evjwYWi1WlSuXPmzt0OSpL+B0v8kLCyMQ4YMoZWVFQcNGkSSrFmzJr/55huSpFarJUlu2LCBQggKIbhgwQLl+NTUVOXfI0eOpBCCDRs25KtXr977XRMmTKCdnR2fPHnyGVskfWnCw8M5e/Zsmpubc+bMmX/5uAYNGrBw4cI8duwYa9SoQVtbW27bto0k+eLFC73Yk3K26Ohotm/fnnnz5uXq1auZmprKQ4cO0cvLi15eXnz58iVJcu/evbx169afnuv27dusWbMmVSoVz5w5kxVfX/rCRUZGcurUqRRC0NnZmSYmJnz+/PlfOjYiIoJFixZlzZo1SZKBgYF0cnKiu7s7t2zZotxDNRrNZ/v+kiRJkiRJkpTTXLx4kZUqVWKpUqUYFRVFkkxPTyf5x7N1UlLS3zrnb7/9RkNDQ/bo0YNarVY+o+cSgYGBnD17tvJzeno6r127xooVK9LV1ZWDBw+mEILlypXjqVOn/ta5ZUzlXrq/9c8//0whBIcNG6bXF67rC/i7ZEzlblqtln379qW5uTmDgoKU7Xfu3KGJiQnr16+vbHv79i2jo6M/eq5Tp05RCMF27dp91u8sfdk+VUydPHmSQgiOHDlS79ylS5dm5cqVP18DJEn6R+R6D/+DsLAwTJs2DUuXLkXHjh3x888/A8hYNkGXyS+EwObNm9GhQwfUqFEDDg4OGDduHFauXAkAMDQ0RFpaGgBg1qxZaNeuHQ4cOIBt27YB+CPzHwDatm2LM2fOyGoTuUhUVBRWrFiBGTNmICEhAcHBwQAy1r/6b6pUqYIXL17A3NwcAQEBKF68OLp3745t27bBzs4OhoaGevEl5VzGxsb49ttvER8fj3Xr1uE///kPBg4cCAA4deoU8ubNC5Jo1KgRrK2t8eDBA6XazbuKFy+OHj16gCT8/f2RkJAg4yiXefv2rXINioyMxNKlSzFhwgRMnz4dW7ZsQXJyMh49eqR3TOZ4yvxvBwcHNGjQAJcuXcLdu3dRsmRJHDt2DElJSRg/fjxWrFihV2pYkiRJkiRJkqQP0z1nx8fH45dffsGlS5fg4+OjVBNUq9VIS0uDSqXCixcv0LNnT5w/f/4vnzcwMBDp6elo3LgxhBDyGT0XSExMxKRJkzBq1CisXbsWAHDr1i306dMHz58/x5YtWzB//nzMnDkT169fx8SJE3HhwgXl+I/1FciYyr0uXLiAxMREqFQq+Pv7K5Umxo0bh8ePH2PHjh1ISkr6aIn6j/VVyZiSAKB///5Yu3YtLl68iBIlSoAkQkJC0KZNG/j6+uLAgQMAgGfPnmHOnDkICAhAQkKC3jl0saSLwdTU1KxthPRF+RQxBfxRycTa2lrZNm3aNAQGBqJbt24APn59kyQpG2RDskaOkJqaSn9/fxobG7NLly7K9sTERJYrV47ff/89SXLt2rUUQtDd3Z3379/n1atXaWxszHz58nHLli3KcSkpKSTJuLg4li1blqVLl1ayYmV2bO6hmwFC6s/iHjZsGGvXrq3Myv6zzGvdZ8HBwTQ0NOTEiRNJkjdv3mT16tWVyhMJCQmfryHSFyc2NpaDBg2iEILGxsYsUqQIw8PDSepfY/r160dXV1c+ffr0vXNkjruGDRsyX758jIiI+OzfXfpyXL16lW3btmVoaChfv37NKVOmUAjBCRMmkCSPHTtGIQT37t2rHJP5uqaTOeaWLl1KIyMjHj16VNl+48YNqtVqFitWjG/fvv28jZIkSZIkSZKkf7nMz9ejRo2ioaEhq1atSiMjIw4ePFivcumbN2/o5uZGb29vnj179i+d//Hjx8yfPz+LFCnCsLCwT/79pS9X5lnXFy9eZMWKFeni4sJLly7p7Td58mSliu61a9f+63llTOU+58+fpxCCX331FVu3bq30d8bFxXH37t0UQtDS0pKHDx9W+sl10tLS/uv5ZUzlXqmpqezTpw8tLS158+ZNZXtwcDCrVKlCV1dXpR88ODiYI0aMoBCCAQEBHz3npk2bKIRg69atP/v3l748nzqmdGOEixYtIkmePn2ahQsXZqFChZRK0JIkfTlk2uU/ZGhoiEqVKmHevHlYtWoVACA9PR0ajQYxMTEoXLgw9u3bh06dOsHGxgZRUVG4d+8eypUrhx07duDVq1eYPHkyDh06BCBjnSONRgMzMzN069YNgYGBmDNnDgDI7Nhc4vfff8fZs2cBAK9evVJmcY8fPx5z5syBRqNBZGQkgD+yXt+tPEFS+czU1BQODg64ePEiAKBUqVKYP38+SpYsiZYtW2Lnzp0ykzEX0P2NLSws4O3tDRsbGxgbG2PBggVwcnLSixkgo5JOSEjIB7NjM69V+vXXXyM8PFyZdSJjKedLTU3F3r178Z///AerV6/GihUrMHHiRIwfPx6TJ08GAJiYmEAIoVyrUlJSoFarAQD9+vXDjz/+CCDjvpaeng4A6NWrF1avXo0yZcoo6+WWKVMGBw4cwI4dO/SysSVJkiRJkiRJ0sdMFdoWLlyI2bNnY+bMmTh8+DAGDBiABQsWYNq0aXj58iUAoFKlSsiTJw/mzZv3l9bUTkxMxPr16/H8+XM0adIELi4un7U90peDJKpXr47hw4dj69ataNu2LV68eIHt27ejYsWKev0AY8eOxejRo3HgwAHMnj0bd+7c+eh5ZUzlTsbGxvjmm29w8+ZN7N27FyNHjsTEiRNx5MgRNG/eHEOGDEGFChXQuXNnbN68WZnp/+rVKyxYsEDp3/wQGVO5l1arRUBAAJYuXYorV66gdOnS0Gg0CA0NxbfffouQkBB4e3tj4cKFuHLlCpYvX445c+Zg7ty56N2790fPGxsbCwCyTyoX+hwxdffuXajVanh6eoIkHj16hJcvX8LPzw958+bN4hZKkvRfZVfGxr9VbGzsB7frZtQmJibS29ubhQoVohCCLVq04NatW+nl5UVnZ2cl43Xz5s1Uq9WsWrUqf/vtN71zhYSE0N7envXr1//ba05K/06PHj1ikSJF+PXXX/PevXucNm2a3ixukmzVqhU9PDyUGMycbb1lyxaGhoYqP+sqAyxbtozdunVTMiC1Wi0PHDhAHx8f/v7771nRNCkb6eIgNTWVBw8eZPHixWlpaUkhBGfPns1nz54p++pmKHXs2JFWVlZ88uSJcvyHKpxcvXqVQggOGDAgC1oifSnOnDlDIQSLFy9OIQTHjh2r9/m5c+cohOD69ev1tutmk+TJk4fz589Xtr87i0SSJEmSJEmSpL8uOTlZ+ff69euZJ08ejhs3TqkuSJJjxoyhEIJNmjShu7s7ixcvzuPHjzM1NZXkxyta6rZfuXKFRYoUYdGiRZVZkX9WBVPKGTL/jU+ePElra2s6ODjw+PHjHz0mISGBQ4YMoRCCXbp04YMHDz64n4yp3EWj0Sh/3ylTptDY2JgTJkzg27dvuWPHDqrVavr7+5Mkf/31VwohlH6DiIgI+vr6UgjBNm3a8O7dux/8HTKmcpekpCSlHzMxMZETJ06kkZERmzRpQpKMjo5mkSJFWKNGDZJUqgFUqVKFQggl3tLT0zllypT3rlXR0dFs2rQphRDs06dPFrZMyi6fO6YePHjACxcuMDExUdl25cqVD1bplSQp+8nEib/h6dOn/OGHH7hu3Tpl27sXt+vXr9PIyIgGBgYUQrBz584kyXnz5lEIwb59+yoXyJUrV1KtVrNx48YMDAwkmfFQp9VqOW/ePH7//fcfTdSQcp7q1avT0tKSgwcPfi9pgiQ7derEfPny8e3bt3px17ZtWwohOHHiREZFRZHUfzl4d2AyPT1dxlUuoIuB9PR0Hjx4kF5eXvT09OT58+fp5eVFU1NTfv3115w+fTofPXqkdJp1796dzs7OfP369QfP++zZM7569YoXLlygr68v+/Tpw8TERPlCmgtoNBpGRkbSw8ODQgjOmTPnvX0uXLhAIYTeUlQtWrSgra0tp0yZQgsLCxobG+slT8iXBEmSJEmSJEn6e1JTU7l161Y2a9aMJHn79m3my5eP9vb2vHHjBsmMyRa6CRe6ZUDVajXHjx+vnOfdpWF1z+a697u0tDTWr1+fQggOGjRIL1FDynnCwsL48OFD5efM8dG5c2eam5vz3r17DA0N5ezZs7lq1Sru379fmSQWFxfH+Ph49u/fX5loERwcrPc70tPTZUzlIpljSNc3Pnz4cL2kCV3p+itXrtDa2pr9+/cnmbGsUPny5VmuXDklAeyHH37gnTt3lHNqtVoZU7lMcHAwx4wZw4sXLyrx9fr1a/r7+9PKyooVKlRgsWLFWKdOHeWYuLg4lilThiqVSm97iRIlKIRgy5Yt+erVK2V7QkICz507x3HjxvHWrVtZ1zgpW2RFTGUm+0El6csnEyf+hqtXr9LLy4uGhoZcs2aNsj09PV0ZZNy4caOypl+hQoVoZmbG8+fPMy0tjRUrVmTBggX59OlT5bj58+dTrVaze/fuegOVqampjIuLy9L2SdlDd0OeOHEihRAUQnD06NHv7deiRQu6uroyJiZGb5uxsTE9PDxoZWXFWbNmKckTHyIHt3OHzJ1cuqQJLy8vJeu+cePGFEKwWLFiFELQxsaGlSpV4pQpU1iqVCm6u7vz0aNHfP36NSMjIxkUFER/f392796dHh4eyktqcnKyknAh5R7169eni4sL09LSePnyZfr5+XHcuHFs1aoVK1SoQCGEkln9/fff08LCQrln3rp1i2ZmZu9Vnni3w1aSJEmSJEmSpI97+/YtGzRoQCEEd+zYwZSUFA4dOpS2trb85ptv9CZLxMfHs1ixYnR1daW7uzvNzc31nsXJPyparlq1it999x1Xr16tfHb06FGuWbNGrsGdw4WHh7NZs2Zs3749g4KC3vv8t99+oxCC/fv35507d+jo6EghBFUqFQMCArh8+XIWKlSIFy9e5PPnz9m1a1eqVCqOGjXqvdiRMZU7ZH7P//nnnymE4LBhwxgXF/de0sTFixdpZWXFHj16kMyY3V26dGmWLVtWOcfw4cOV5Il3K0/ImMo9Ll26xKJFi7Jo0aK8du2a0i8ZFBTEn376ieXKlaOxsbGy//3795XEGx8fH5qYmHDs2LH08PBg1apVuXLlSlpaWvL777//YPzIvvScL6tiSsaSJP17yMSJv2nnzp309PSkjY2NMhB09epVdujQgXv27OGPP/5IV1dXnjhxgtevX2eePHk4fPhwkuSOHTveK22elpbGbt26vTdDV8p9Dh8+TCEEhw4dqmwLCQnh1atXefLkSZYvX56VKlVSPmvRogUtLS25bt06Xrx4kT4+PjQ3N+esWbM+Wi1Ayj3S0tK4a9culitXjkWKFGFkZKTy2eTJkymE4JIlS3j+/Hm2bt2abm5uetVy3NzcaGVlRTMzM6pUKiWpRwjBffv2ZWPLpOyie8Dv1KkTLS0tGRQUxLx58ypxYWVlRSEEnZ2dmZ6eztatW9PCwoLr1q1jfHy8cp4rV67QzMyMVlZWnD17trJdJk9IkiRJkiRJ0l93+fJlGhsbs127diQzSkuPHz+eNjY2rFKlirKfl5cXixQpwsuXL/PkyZNs1aoVhRBs1aoVjx49qnfO+/fv09LSUilNLeUeISEhSqWITp068d69eyQzEir27t3LtLQ0lilThl999RVDQkJ46NAhbt++ndOnT+eZM2e4bds2CiGU2dnPnj1j+/btaWBgwOnTpzMmJkYOGuUimf/W7yZNbN++/YNJEz179iSZkTRRvHhx1qpVSzlHeno6k5KSOGrUqI8mT0i5Q1JSEnfs2EFXV1eWLl2ajx8/5u+//8569eqxTZs2XLhwIc3NzVmvXj2+ePFCmaioi7cePXook15jYmKo0Wi4adMmWlhYsEWLFu9VyZFyvs8dUyEhIdncQkmS/i6ZOPEXZX7g27t3r5I8MX36dBYpUoQlSpRgWFgYw8PDlQe36OholipVii4uLnzx4gWfPHlCFxcXli9fngkJCSQzllEYNmwYhRD88ccfs6Vt0pfh4sWLNDQ05LBhw7h161Yle18IoQxmt2rViiTZrFkzZUBSV4Luxo0brFSpEs3MzDhr1ixGRESQlNmMuVVERATr1q1LIYReKVaS3Lp1K4UQ3LRpE8mMF9A3b95w7969XLt2Lbt27cqGDRvS19eXtWrVYuPGjdmjRw8GBARw586d2dAa6Uugu5boOipCQkK4bds2Xrp0iQ8fPuT9+/fZvn17JW5MTU25bt065X6n1WqVmWy65B1bW9sPVtiRJEmSJEmSJOnjdEnHAwcO1EtuT0xM5IQJE2htbU0fHx8WKlSIJUqU4MGDB5Xn+WfPnjEgIICWlpa0trZm06ZNeezYMQYHBzMlJYVDhgyhEILHjh3LtvZJ2ePRo0fs378/VSoVu3fvzosXL3Lo0KFKZRPde9yZM2feO3bo0KG0sLBQlu0gyYcPH7JGjRo0NzfnkSNHsrIp0hdiwYIFStLEmzdvuH//fqrVai5btozkx5Mm6tatS5L84Ycf+Msvvyjni4uL47hx45QEnxcvXmR9o6Rsl5KSwgMHDtDd3Z1FihRhjRo1+O2333L79u1MTEzkkiVL6ObmRnt7ewohGBAQoBxbsmRJNmzYUOk3JzP6q3SxWr9+fT569Cg7miVlIxlTkiRlJhMn/obMA9D79u2jq6srDQwM6O7u/tHlEYYNG0Zzc3MlmaJr164UQvD333+nRqPhf/7zH3p5eTF//vy8fPlylrRD+jK9ePGC9vb27Nu3Lw8cOMC6deuya9eunD17Nn/44Qe6ublx+fLl7Ny5M83MzPQGJMmM+Lx37x7d3NxYsGBBTp06Vb5A5HKHDh1SKgKsW7dO2b5//34KITh16lSS78/0113rEhISmJaW9sHkG5mQk/vo/ua6jtTMHWJkRrKOs7OzUrHk3WuUzq+//kpDQ0O2adOGQgiamJjovVxIkiRJkiRJkvTX7Nmzh0IIpfIp+UfyhIuLC42Njbl79+4PHvv48WP+8MMPzJcvH4UQNDU15VdffUVLS0taWVnx9OnTWdkU6Qvx+PFj/vjjj1SpVCxdujQNDAzYoEEDkuTatWvZtGlTnjhxglqtVq8v4ZtvvuHXX3/93vkmTJhAIYQyMC7lHtOmTaMQgiNHjmR4eDgvXLhAY2Nj+vj4kCRv3rz5waSJevXqkSRr165NIQQLFSrE7du3K+dNSEhg8eLF6eTkpCwlK+UemfsjV6xYoVQ09fPzUz7v2LEjZ86cSU9PT73lXooUKcLatWszMTFR7zwhISEsXLgwvby86OrqymfPnmVdg6RsJ2NKkqR3qSD9IyVLlgRJGBgY4M2bNzhw4IDymUajUf7t4eGBhIQE3L17FwDg4uICAHj27BlUKhWMjY2RN29e9OjRA4ULF87aRkhfFI1GA5JIS0tD/fr1cfjwYaxYsQIjRoxA165dER4ejkGDBmHfvn1YunQpvv/+e5iamgIASEIIgUuXLiEsLAypqamYMGECAgIC9OJRyj1Iol69elizZg2qVasGe3t7JRZsbGwAAHv37sWrV6+gUqmg1WoBAKmpqXj06BEAwNTUFGq1GkIIkNQ7vxAiC1sjfQl0f/OoqCgAgKGhIQAgPT0dAHD16lW8fPkSJUqUwJQpU9C0aVPlGqWzbt06dO/eHb169cKmTZtw69YtXLt2DQ4ODlnYEkmSJEmSJEnKGRo3bowWLVogJCQEnTt3xvHjx2FiYoJRo0ahS5cusLCwwJw5c5CUlAQg49k9KioKly5dgoeHB5YuXYoLFy7Az88PrVu3hoGBAapWrYrBgwejWLFi2dw6KSvp3vk9PDzQvn17lC1bFkFBQciXLx/8/f0BAB07dsTWrVtRo0YNCCGgUmV0K6ekpODRo0coWLAgtFqtcq7ExEScOXMGpqam+Oabb7KlXVL2iI2NRUhICLp3745+/frByckJlpaWcHNzQ1BQENq3b48aNWqgVatWWLZsGWJiYlClShXkz58fhw4dgq+vLxITE7FlyxaYm5ujbdu2OHToEABg1qxZuHv3LszNzWFra5vNLZWyy+PHj7F7926UKFECRkZG2LhxIx4+fIhffvkF+/btQ/PmzdG5c2e8ePECw4cPh7+/P+7fvw9nZ2eYmJgofVxPnz5FrVq14O7ujgcPHuDhw4dwdXXN5tZJ2UHGlCRJOjJx4k/oBhJ1g0JCCGg0Gly8eBF169aFg4MDFi9eDAcHBwwcOBBr1qwBAKjVakRFReHcuXMoVKgQACgvqZaWlgCAFy9eAAC+++47bNmyBcOHD1c+k3ImXTzp/vsulUoFlUqFuLg4ZZtGo0Fqaio2btyI1NRUuLu7Y968eWjWrJnegKQQAmvXrkXXrl3Rt29fbNiwAfXq1UObNm2gVqs/b8OkL5Iu2aFevXrYsWMHatasqcSCrhPjypUraNy4MUJCQpQOj3v37qFdu3bYunWrcp7M/5VyvneTZDKLjo6GWq1GgQIFkJaWBgAwMDAAAGzbtg0GBgbo1asX2rdvDwsLC71zrVu3Dl26dEG/fv0wadIkkETJkiVRtGjRz9sgSZIkSZIkScoB3n1O1/Ut6AakX758iW7duuHw4cMwMTHB2LFj0a9fP9y5cwd169ZFTEwMDAwMcPnyZVSuXBl79uyBiYkJChYsiGHDhmHVqlU4deoU9u/fj/Hjx8Pe3j6rmyhlgXfjSDfBQvfOHxERgc2bN+PGjRtwc3NDWFgYpk2bhtu3bwPISKDPnBwBZCTRP3/+HGXLloVKpYIQAhEREWjZsiVOnz4NHx8f1KxZM4taKGUnXVxYWlpixowZmDFjBgoUKACSKFasGPbs2YNixYph06ZN6NKlC3755ZcPJk0kJCTg+PHjaNGiBUxNTeHp6akMPFavXh2tWrXCtm3b4OTklJ3NlbKBEALh4eEYPHgwoqOjMXjwYGzcuBFv375Fs2bNcPToUZQpUwZeXl7o1q0b6tSpg127duH169eYOnUq/vOf/6B79+4AgPDwcNStWxceHh44ePAgAMh+9FxIxpQkSe8yyO4v8KXSarVQqVSIj4/H3LlzUbBgQXTp0gVqtRrXr1+HhYUFNmzYAG9vbzg5OWHw4MEYPHgwtFotunTpgqioKAwYMEBJnDA3NwfwxwuJnZ2d8rucnZ2zvoFSlnr+/Dk2b96M5s2bfzTDMDAwEFFRUXoJFroByZs3b6JgwYIYPXo0mjZtCjMzM71j161bh65du6Jfv36YMmUKrKysULVqVRgZGX3ehklfNF3Hh+56o6tM8vz5cwCAp6cnrl+/ju+++w67d+9GgQIFcPnyZVy7dg0vX77Mtu8tZS3d/U5Hl3TzoWQZa2trjBw5ElOnToWLi4ty7K1bt3Dw4EFYWloiPDwc8fHxsLS0VM6TOWli4sSJclaIJEmSJEmSJP0FSUlJiIqKQoECBd57Ttc9w7do0QITJkxAeno61Go1evXqheXLl6NOnToYNWoUAGDRokVo2LAhjh07Bi8vLwBAcHAwTp48iVevXiElJQXNmjVTJvRkfj+Qco7M8bNnzx74+vrC2tpa+Vyj0eDgwYOYM2cOGjRogJUrV2LOnDmYP38+0tLSMHbsWHh7e0OlUuklTuiqVubNm1fZZmxsDEdHRzRo0ADz58/X+0zKWd69Tmk0GqjVar2+byAj/ry9vbFs2TKcPXsW/fv3R0xMDKpWrYp8+fLh0KFDqFatGpKTk3HmzBnkyZMHP/zwAx49eoTjx48rky5q1aqFKlWqIE+ePNnRXCkbxcTEgCSMjY3h4+MDDw8PtG7dGgCwfPly9O/fHzt27ED//v0BAE5OTpg0aRJ8fX1x9uxZTJ06FSQxYcIExMbG4vbt2/D29sb+/fsBvN8/JuV8MqYkSfqgrFkR5N9Ft0ZffHw8hw8fTiEEmzZtyvT0dGWf8PBwvXWL9u7dS09PT1pbW3PdunUcNGgQnZycOHjwYFpZWXH//v1MSUlhw4YNKYTgkSNHsrxdUvYICQnhjz/+SCEEp0+f/tH9Xr58ydGjRzMwMFBv++rVqymEYPPmzfnkyRNluy7+1q5dS7VazYEDB/L169efpxFSjrJy5UoKIbhq1SpOnjyZarWaZcqUYVxcHOfOnUshBM+cOZPdX1PKApnXpB0+fDi3bdum/Jz5HvexY3X7LFy4kCqVil5eXjQ2NuakSZMYERFBklyzZo28RkmSJEmSJEnS3xQXF8ctW7bwu+++4/bt25XtmZ/T09PTmZaWxoYNG7JixYqcNm0a7ezsWLBgQaXfKSkpiRMmTKC1tTWrV6/OzZs308nJiZMmTaJKpaIQgnnz5uX169ezvI1S1skcN6tXr6a1tTWbN2/+3nvfrVu3+NNPPyk/P3z4kAMGDKBKpWKnTp1479495RwzZswgSc6aNYu+vr5cv349SSr9p8nJyYyPj/+s7ZKy11+5TmWWuW/9zZs3/Oqrr1i5cmWSZN26denm5qZ83r59ezo6OvLWrVuf6dtLX6Lo6GiGhIQwOjpab3tUVBQnT57MHj16MCkpSe9zXbxNnz6dQghWrVqV165dY2pqKsmMcRu1Wq1c26ZMmcJ8+fLR1NRUOUfm/jEpZ5ExJUnS3yUTJ96hu6AlJCRw7NixNDU1ZeXKlZmUlESSTEtL++D+JLlnzx56enrS1taWRkZGbNeuHSMjI3ns2DGSGRfcr7/+mg4ODoyKisqiFknZKSQkhEOGDKGzszNtbGx4//79D+6nuxnrbr7p6enKts6dO1MIQbVazbFjxyqDkaQckJT+Ht31q3fv3hRC8OLFi4yOjubo0aMphGDJkiXp7e3NvHnzMjg4+L8OnEv/bpnvXz4+PhRCsGbNmnpJM38lBh48eEAXFxdWq1aNDx8+ZK1atWhkZMTp06dzyZIlVKvVHDBggLxGSZIkSZIkSdJfpBuMLFOmDIUQLFu2LA8cOKB8/u5z+qRJkyiEYHBwMNesWUMHB4cPJk84OTnRzs6OQgieP3+ely5d4uHDhzl9+nRGRkZmaRulrJM5XtavX08vLy8WKVKEYWFh732e+Wfdf58+faqXPBESEsLvv/+epqamTE9PZ3Jy8nvnkf0JOd/fvU5l/vnly5esUKECy5cvT5IMCgqiEIL16tXjrVu32LVrV5k0kQulpqZy+fLlLFWqFH/99Vdl+5s3bzhv3jwKIfjzzz/rTeTJ3LfVsGFDenl50cPDgyVLluS1a9eo1WqZkJDATp060dLSknfu3OHr1685ZMgQmpqa8tmzZ3oJPVLOImNKkqR/ItcnTmR+GdANKiYkJHD8+PG0tLRk9erVP5o08e45SPLEiRO0s7OjpaUlr1y5ordfZGQkN2zYwPnz58uM61wgLCyMQ4YMYd68eSmEoIuLizJw+KGXyQ+9VJ49e5ZqtZqdO3dm9+7dqVKpOGrUKMbHx3PdunUyaUL6R6pWrcqCBQsqHWPR0dEcN24cbW1tKYRggwYNsvkbSp/bu0kTDg4OHDRoEM3NzVmtWjX+9ttvyud/1uGVmprKmTNn6lXUefPmDWvVqqUkfPXq1YspKSmfrzGSJEmSJEmSlIPExcVx8+bN/Prrr7l582auXLmSBgYGrFKlCo8ePaq3b0JCAkny6NGjLF++PE+fPk2SXLp0KR0dHfWSJxITEzl27FgaGhrSwsJCDkjmEu8mTRQvXpxFixZlcHAwd+3axfr16yv9l382OzZz8kTlypVpbGzMBQsWkNTvL5UJE7nD37lO6frVdd68ecPWrVvTxMREb/v+/ftZrFgxGhkZ0dXVVV6jcqH09HQePHiQ5ubmrF27NsmMfqfJkyfTyMiIQgj6+fkp+2e+3pw+fZo2NjZctmwZT548yYIFC7JUqVJKNaVDhw5RCMF58+aRzOi3f/z4cRa2TsoOMqYkSfoncn3ihK4Ej+6iGBsbqyRN1KhRQ+/h7s8e/nWfhYSE0Nvbm3Xr1mVUVJR8YcildEkTlpaWHDp0KDt27MiSJUsyNTVV74Vyw4YNHDhwoPJz5pfU169fs3Xr1hRC8NChQ3zy5Am7detGlUrF+vXr08jIiIMGDeLbt2+zsmnSv9y+ffvo4ODAIkWKMCEhQblGvX37lpUrV6YQgoMGDSIpOzxyqneTJmxtbbly5UqSGR2uZmZmrFKlCk+dOqXsp7tu6Y7VZU4HBwfT29ubXl5efPnypbL/69ev2aRJEwohOGDAAL558+azt0uSJEmSJEmS/u0yD0b6+/szJiaG7u7uLFeunDKje/Xq1STJ58+fs23btrx27RrJ9we9ly1b9l7yRExMDL/++msWL16cV69eJZnx3iff/XKmzH/XDRs2KEkTuoGdfv36UQihtzTHuzLPmg0ODlYqWLq7u/PmzZuf78tLX6x/cp26cOGCcvy9e/fo6+tLIQSnTZumd+6tW7eyQoUKMmkiF0pJSWFCQgLj4+OVJa9nzZrFqVOnUgjB4cOHK1WZV6xYoRyn1WqZmprKTZs20c7OjufPnyeZMajt6urKkiVLKteqQoUKsWrVqkqVHClnkzElSdI/lasTJ/7zn/+wRIkSbNmyJWfPns2oqChOmDCBVlZW7yVNxMfHc8KECe9VkdDRvaCuWLGCQggGBAR89PfKF9KcLSwsjIMHD6aVlRX79+9Pkvz+++9ZpkwZvf02bNhAIQSFEJw8ebKyXRdLR48epbm5ud7s/wcPHrBXr15UqVQsV67cR5f+kKSPiYmJ4enTp3n79m2SGfGmi7lLly6xVatWDAwMzM6vKH1GH0qaWLVqFRMTE5Xthw4dooWFBcuVK8d9+/YpHWX3799n69atlQQJXaUmf39/njx58r2XhMjISJYrV46Ojo4MCQnJgtZJkiRJkiRJ0r9X5sHIgIAAxsbGskCBAmzevDnJjEQIIQTnzp3LuLg4uri48JtvvuGrV6+Uc2i1Wr1n/mXLlinLdhw+fJhkxgSizMvzSTlT5r7HtWvXsmTJkixVqhQfPHigbN+7dy+FEMqEnnfjRyfzcrKLFi1S4lDKff7pderdJatv3LjB77//nkIIjhkzRu+zmJiYLGuP9GWIiIjg119/zUWLFpHM6H9ycXGhgYEBVSqVktx16dIlVq5cmXZ2djx48KDeOV6+fMmHDx8qP6empvLgwYP08PBg6dKlGRwczBUrVjAgIEDGWC4gY0qSpP9Frk6cmDRpEp2dnZk3b17my5ePffv2pZWVFWvXrs24uDhlv/j4eBYrVoxCCHbr1k3vJSOz6Oho2tvb08nJiU+ePCEpkyRym5CQEHbv3p2mpqbs27evsv3bb79V1u0jyc2bN1MIwfr167N8+fIUQnDmzJnK5+np6Vy7di2/+uor7ty5U+933Lt3j3379qUQglOmTPnTUoqS9HelpqZm91eQPpO/kjRBkteuXaOnpyeNjY15584dkuTdu3eVtZDbtGnz0fWP373nPX36VM5CkiRJkiRJkqT/4mODkS1atKBWq2VERARLly7NDh06MC0tjcWKFWOdOnX0OuozP4u/mzxhZ2fHvHnzKskTHzpGyjky/13XrVvHihUrUgjB/fv3k8xYOkGr1fLhw4e0tbVlmTJlmJycrLfEYuPGjdmhQwe980ZERNDNzY3FihVjaGjoe79Lytk+xXUqcxXeW7dufTB5QsZU7hEeHq78u0yZMqxRowbJjGvNiRMnaGJiwnbt2ukds2fPHrq5ubFWrVp6g9ofs2PHDqXSAPnnSxJJ/34ypiRJ+hRUyMUmTpyI0NBQnDt3DhUrVsTZs2dhZmaGPXv2wNzcHACQkJCAr7/+Gs+ePUOZMmWwatUqzJ49G0+ePHnvfBYWFhg6dCimT58ONzc3AIAQIiubJGUjjUaDa9euYc2aNWjevDn8/f31PjMyMgIArF+/Hm3atIGNjQ3Gjx+PdevWoVSpUhgzZgyWLFkCAFCr1ejYsSNOnDiBRo0aAQBIAgAKFy6MXr16oWPHjvjmm2+gUuXq/xtLn5ihoWF2fwXpM9Bqtcq1okqVKrh37x7mzJmDNm3awMTERNnvwoULGDJkCMLDw3Hs2DEUK1YMd+7cQZUqVWBpaYk6derg4MGDGDhwIKKiopRz67x7z3Nzc0Pp0qWzoIWSJEmSJEmS9O8UHx+PAwcOYN68eejcuTPat2+P4sWL4+uvv8bWrVvx+vVrVK1aFYULF8aaNWtQtmxZODo64vDhw7C0tMSRI0eQkpKi9yyuUqmU5/SePXtiypQpSExMxLfffosTJ04o+8k+q5yHpPJ33bhxI2bNmoVHjx4BALp164abN28iT548EELAw8MDhQoVQlxcHFJSUpR+q1atWuHAgQNwcnJCTEwMACApKQmjRo1CcHAwfH19kT9/fgAyhnKLT3WdMjAwUPo3S5UqhUmTJqFZs2aYOXMmxo4dC0DGVG7x7NkzdO3aFT/++CNIonPnzkhMTMSYMWNQrlw5XLt2DZUrV8b27dtx6NAh5bjGjRvjxx9/xMmTJ7F3714A+v1S73r58iWcnJzg5OQEALIfPQeTMSVJ0ieTrWkb2UiX4RoTE8Np06bR2tpaWTZh6tSpJDMyXIsVK0YrKysuXbqUFy5cYOvWrSmEYPfu3ZU1AckPZ5bJbLPc5+nTp3oVIlJTU5mcnMwKFSqwW7du3LNnD4UQdHZ2pkql4uzZs0lmLMvh4eFBc3Nzrlmz5i/9rvj4+M/RBEmScjAfHx9aWVlx9erV7y2tcf78efr6+jJPnjxK6d6goCBaW1vTzc2Ne/fuJUn27t2b1tbWbNu2rVJ5Qt7vJEmSJEmSJOnvi4uL45YtW1ipUiX6+/vrzeAmM5a/K1y4MFu1akWNRsNSpUrxm2++UY5v3749XVxc+PTpU5LvP5dn/nnGjBm0tLTk3bt3P3/DpGyReab++vXrWbx4cRYvXpxPnz7ljBkzKISgg4MDg4KCSJIJCQmsVq0a1Wq1UimwVatWNDQ05JQpUxgREaF3/k2bNnHgwIG8desWSfkemFt87uvUrVu32LRpUwohOHjw4Cxrl5S9oqKiWK1aNb0lrDt16sTq1auzVq1aDAoK4vLly5Xxmjlz5ugtWd2uXTva2tr+adXv27dvs3v37nR3d+fz58+zpmFStpExJUnSp5IrEyd0D2gJCQkcP348raysWKdOHf722290dnamEIIjRoxg8eLFaWVlxZ9//llJtLh8+TJbtGjxweQJKXeKjo5menr6e9t129LS0li+fHlaWFhQCMGGDRvy4sWL9PX1pZOTk3KD3rVrFx0cHOji4sIdO3Yo53n3Ji1L1kmS9E+sWLGCQgj6+PgoHWU658+fZ/Xq1WliYsLffvuNZEbShJ2dHT08PLhlyxblmpacnMyePXvSxsZGL3niQ9dBSZIkSZIkSZI+LCUlhTt27GCRIkW4bNkyJiUl/dfBSF3JaZJs0qQJraysaGFh8aeDjZmf01+/fv35GiRlqw8lTRQrVkxZblir1XLMmDFK8oQu+WHv3r2cMWMGyYwBbkNDQ86ZM0cvVjIPdL+bgC/lbJ/zOpU5Zm/cuEEfHx8aGxu/l7Aj5Ry6v7luydjnz5+zdu3aNDc3Z+PGjVm+fHk2a9aMx44dI5kRf61atVIGur/55hsuXLiQJHn16lXmy5ePLVu2ZEpKCrVa7XvLD6elpTEsLIxhYWFZ2EopK8mYkiTpc8h1iRPvJk1YWlqyRo0aTEhIIEneu3ePDg4OFEIwT548XLRo0XvnuHr1Klu2bEkhBPv16ydfGnKxsLAwdurUif7+/h/d5+HDh3R0dKShoSFVKhUbN25MMmP9LAMDA9avX1+5yW/ZsoXGxsYsVqyYckOXJEn6FMLCwjhr1iyq1Wp2795dyaC+cOECfX19aWJiwvPnzyv7WllZ0cDAgOvXr1fOoXsRIcmGDRvSwsKCLVu25MuXL7O2MZIkSZIkSZL0LxcXF8dx48ZRCMH27duzYMGCbNWqFbVarTIY2aJFC2q1WpYsWZK1a9dWJvU0btyYHh4eDAwM5JQpU+jm5sYbN26Q/KPCamayMkDu8euvv7Jw4cIsWrSoMtkr83vc6NGjKYSgvb09r127pmzv3r07VSoV58yZwzdv3mT595a+TJ/7OpU5eeL69et89uxZlrdRyloJCQls1aoVO3TowI0bNzIpKYmlSpWigYEBPT09uWPHDi5atIj169dnvXr12LRpU5qZmXH8+PEsUaIEzc3NWb16dS5dupSlSpWij4+PMq6jc/XqVcbFxWVTC6WsJmNKkqRPzSC7lwrJSro13hMSEjBz5kwsWrQI5cqVw4EDB5AnTx4AQOHChWFhYYE3b94gJSUFz58/V45PS0uDoaEhypUrhzFjxiAyMhJLlizBt99+i0aNGmVXs6RsFB0djZcvX6J///4QQqBPnz4AMtaUjIyMhKOjI4KCghAZGYlvv/0WaWlp2LdvH7Zs2YLGjRujQYMG2LdvH/bu3YsmTZqgZcuWSE5ORqdOnTB16lTY29ujdOnS2dxKSZJyAhcXFwwePBgqlQqjRo2CVqtF/fr14e/vj8uXL+Po0aOoXLkytFot4uPjUbNmTRw4cABRUVHK2n4mJiYAgKtXryI6Ohrx8fHYtm0bvL29MWXKFLmunyRJkiRJkiT9Rebm5ujcuTPi4uKwfv16GBkZYfPmzYiJiUGVKlVQunRpbNmyBdWqVUNaWhqOHj0KAGjRogWOHTuGa9euoWjRokhKSoKfnx+uXbuGMmXKwMAgo6tv9+7dqFu3LkxMTORzei5x8uRJdOvWDZ6enjhy5Ajy588P4I/3OACYMWMGVCoVZsyYgW+//RaXL1/GhAkTsGnTJsyePRvdunWDjY1NdjVB+sJ87uvUnj17ULt2bZiZmeGrr77KzqZKWeTixYt4+/YtQkNDYWZmhvDwcCQlJUGj0SA+Ph67du1CREQEEhISYGdnh3bt2mHv3r2oUqUK+vXrh507d2LJkiUYM2YM3r59CwBo3bo1rKyskJCQgNjYWDx+/BgrVqxA7dq1s7m1UlaQMSVJ0ieX3ZkbWUWXwRofH88RI0bQ2NiY1atXZ1JSkrJPXFwcixUrRmtra44YMYKOjo4UQnDs2LHKPikpKcq/27ZtSyGEsu67lDudPn2adevWpRCCAQEBJMkrV67Qx8eHGzZs4NKlS2lhYcHdu3czMDCQRkZGbNu2LcmMbOo8efJw0KBBeuecMGECDQ0NuWTJkqxujiRJOVx6ejpnzZpFY2NjGhoa0tzcnGfOnCFJPnv2jKdOnSJJPnnyhO3ataOBgQF/+ukn5f53+vRpVqlShUIIbtu2jStWrFDKv0qSJEmSJEmS9Pc8e/aMP/74I4UQbNOmDYsUKaKUvS9btiyFEKxatSoPHjxIf39/mpiY0Nvbmx07duSTJ0+o0WjYrVs3fvfdd7x06RK3bt3KKlWqMH/+/Lx06VJ2N0/KYv379+eDBw8YFhbGHj16cMCAARw7diy3bt3KAwcOMDExkRqNhhMmTFCq7RoaGjIgIEBZhlGS3iWvU9KnlpKSQj8/P1avXp3FihWjEIIFChRg4cKF2a9fP5IZ1XLi4+O5aNEinjx5kuQfYzybN2/m5MmTKYSgiYmJUkG8QIECLFCggLK/lHvImJIk6VPJNYkTZMaFsXPnzhRCsEqVKu8lTRQvXpxWVlbKukZBQUFK8sS4ceP0zjVixAgKIWhnZ8f79+9naTukL0PmcnLnz59XkifGjx/PokWLslSpUrx79y5J6pWxb9myJa2srPjgwQNGR0fzq6++opWVFR8+fEgyI06nTp1KIQR79OiRtY2SJClXSExM5MiRI2lhYcGzZ8+SzLjnmZmZsVKlSrx9+zZJMjg4mB06dKCBgQH9/f155MgRVq1alUIIbtmyhaT+tVCSJEmSJEmSpL8vNDSUAwcOpBCCnTp1okajYalSpVi/fn2eO3eO7u7ubNCgARcsWMDnz59z6dKlrFy5Mi0sLFimTBm6urrSxMSExsbGdHd3Z7Vq1bh69WpGRERkd9OkLPLuciwnTpygWq1W1nHX/W/+/PnKPrqBJXNzc+W98ENLvUgSKa9T0v8uc//RgQMHaGtry5o1a3L+/PksUqQIV65cyWrVqtHJyYnbt28nSZ49e5ZNmjShm5sbnz9/rne+O3fu0NnZmVOnTuXTp08ZFBTE6OhoxsTEZGm7pOwjY0qSpM8hVyVOREdHs1KlSvTw8NBLmoiPj2eJEiVoa2vLBQsWMDk5Wfns6tWrzJs373vJE4sXL2aNGjV46NChLG2D9GXJfHO+cOECfXx8KIRgwYIFGRIS8sH9Zs6cSSEEf/vtN5LkqFGjaGRkpGRY79ixg4ULF6ajoyPPnTuXRS2RJCkn+FASw8cSG0JCQpT1QwMDA2lra0srKyuam5uzdu3aynq4ISEh7NixI1UqFfPnz0+VSsVdu3aRzOick4kTkiRJkiRJkvS/CwoK4rZt25iens6SJUuyZs2ayrN2hQoVaGBgwCpVqvD06dPKMVu2bOGiRYvo7e3NfPny8cyZMwwLC8uuJkhfEI1Gw6tXr/L69etcvnw5R48ezUqVKvHChQskyTZt2tDIyIi1atWiEIIODg68deuWcqwkfYi8Tkmfyt27d9mvXz9euXKFT58+pRCCFy9eZEJCAjt06MDFixfz9u3brF+/Pq2srCiE4IYNG0j+cY26f/8+hRBcuXIlyYwKq1LuJWNKkqRPxSC7lwr5nEhCCKH8bGVlhT179sDKygpGRkbQaDRIT09H1apVcefOHcycORMDBw4EAGi1WgghUK5cOezfvx8NGzbE9OnTAQBTp05Fv3790Lp1a9jb27/3e6ScTaPRQK1WAwCEEEhPT4eBgQEsLS3x8uVLWFhYIDQ0FPv370fv3r3fO75ChQoAgNu3b6NKlSpwcnJCWloaLl++jIoVK8Lc3By+vr6ws7ND8eLFs7RtkiT9u+nuRY8ePUJiYiJKliz50ftTvnz5oFarcefOHfj6+sLW1hazZ8+GhYUF2rRpg/79+2Px4sXw8PDA9OnTYWJiguXLl6NLly5o2rSp8vvk/U+SJEmSJEmS/jfp6ekoUaIE3NzcUK1aNYSHh+PixYsQQqBhw4aIjo7G+vXrMXLkSEyYMAFDhgyBh4cHatSoAXt7exgZGWH16tWoWrUqtFotgIx+LZVKlc0tk7KLSqVCuXLlAABfffUVAODNmzewtbVFhw4dsH37dsydOxc//PAD5s+fjylTpqB27do4ceIESpQoIeNHeo+8TkmfUtGiReHn5wdTU1OcOXMGQMY1ysDAAJcuXcKhQ4fg5eWFkJAQ7N69G4MGDcLu3bvRrl07PHr0CK6urnj16hUAwM7ODgCU/nopd5IxJUnSp5KjEifefdgSQryX1ODg4KDsq1arkZKSAmtrawDA+vXr0a9fP5ibm4MkVCoVSKJcuXLYt28fGjVqhOnTpyM9PR0zZ86Evb293iC6lPPp4iYuLg5r165Fv379YGBggFu3bqF58+awsLCAn58fli9fjr59+0Kj0aBfv34AgKioKAQGBsLT0xNARmIPAFhYWAAA4uPjAQB16tRB1apVoVKpYGxsnA2tlCTp3+zmzZsYNmwYhBBYtWoVChQo8N4+umvZvXv3UL16ddjY2GDmzJlo0aIFAGDdunXo2LEjevbsifnz56NkyZIYNWoUUlJS8Ouvv6J8+fLo1auX7OCQJEmSJEmSpE/AwMAAERERKFOmDLRaLWJjY7FixQocPnwYd+/exdGjR+Hp6Ym1a9fi8OHDSE1Nxdu3b9G0aVPMmjUL586dg1qthhBC6aOSz+qSTkpKCoyNjWFra4u2bdti69atmD17Ntq2bQsrKytMmjQJaWlpmDlzJmrWrIlDhw6hbNmycqKYpEdep6RPzdTUFFqtFufPnwcAeHl5wcjICLVr18bSpUthYGCAPXv2oEKFCqhatSoOHz6MFi1a4N69exg5ciQCAwNhZGSEr7/+OptbIn0pZExJkvQp5Jink8xJEyNGjMD27dsB/JE88S6VSgWtVgtTU1Ps27cPnTp1wp07d1C5cmVERkZCrVZDo9Eox5cvXx779u2Dg4MDZs+ejV69egGQWWe5iS7GEhISMHXqVAwYMAD9+/cHADx48ABlypTB5s2b0bx5c0yaNAl16tTBgAEDsHjxYgghEBcXh9q1a2P8+PEAABMTEwBAYmIiAMDe3l75XSYmJjJpQpKkvyTzPS4oKAh+fn44efIkqlev/sGkCSDjHhgaGoqKFSsCAObNm4dWrVoByJhF0qhRI2zfvh0XLlzA6NGjce7cObi7u2Ps2LFo3749qlevLjs4JEmSJEmSJOkT0Wg0GDt2LEqWLIkrV65g2LBhGDx4ME6cOIG9e/fC09MTPXr0wLVr17Br1y48ePAAT58+VZ7n09PT4ebmBgAf7AOTci+tVqv0L7Vu3Ro7duzA7Nmz0bVrV9jb2yM9PR0AMH36dIwcORJRUVFo1KgRTp06JZMmJD3yOiV9DiRRrFgxtGrVCg4ODjh79iwiIyMBAKVKlUKFChWQkpKC6OhoPH78GNevX0eBAgXg4uKChw8fIn/+/LC0tMzmVkhfEhlTkiT9r3JExYnMSRNVqlTBhQsXUKNGDTg6OqJatWofrDwBZAwcaTQamJmZwd/fHyqVCr/++itq1qyJEydOwMHBQakooUue2LNnD6pUqYJVq1Zh8uTJcHJyyo4mS1lMF2OJiYmYOXMmFi9eDB8fH/j5+QEAWrZsiRo1aihlnCpVqoRJkyYBAAYOHAghBF68eAFra2t4e3vD2dlZicdLly4B+CORQpIk6a/QXZd015LAwED89NNPOHDgAAICAtCzZ08AQFpaGgwNDZXjdMsL3bhxAwUKFMCLFy+UakyZ9zUyMkLBggVx4MABxMbGYsKECahduzZWrVqldz5JkiRJkiRJkv43arUa06ZNg1qthr29PUaPHg1TU1OMHz8ehw4dwoIFC7B9+3YEBgYiODgYLi4uCAkJwbx58xAfH4+ePXsiX758ACAHuyU9uv7S5s2bY//+/ZgxYwa6du0KGxsbABlVBHR9nzP/r707jc6yuvc+/s0MkQBBIFEaBstwgKoIHjVpEBZ6FDRylJ6KpdahFRZUDNThBATRQJApooEjai0qdVi6QFZXCUgDYQhlCjKIQcShFgIqHURIGELu4Xnhk7uhQosIBOT7ecNa5Br2hr32lfvev+u/J0ygurqaqVOncs899/Duu+/6XZUinKd0KsTExNCnTx9uuukmysrKGDp0KLt37yYzM5MdO3YwZ84c/vd//zcyF/36178mIyOD2NhYnnrqqcg4lGo4piR9W1Hhszzi+c+hiQ8//JABAwYwc+ZMLrvsMiZMmMAPf/hDgGOWmKv5gHDgwAHuu+8+XnzxRTp37nzU8ERUVBQlJSWkpKTQoUOH09pXnV41/9+1QxMTJ07kySefpGvXrvzhD3+gXr16HDp0iHr16kXOqz0mV61aRW5uLkuWLIns+feb3/yGXbt2cckllxAOh8nIyOBPf/oTixYt4pJLLqmr7ko6y/zud78jISGBPn36sG3bNsaNG0dRURE33XQTgwcPJhwOc9lllxEXF0cgEGD+/Plcd911kQ8GoVCIoqIiRo4cyaeffsobb7xBz549ASgpKWHUqFGsXLmS0aNHM3XqVHr06MHs2bP98CBJkiSdBgcOHCAvL4+JEycC8N5775GYmMi9995L7969adWqFX379qVbt24UFxf7dqSO6b777uOZZ55h7NixDBkyJBKaqK32VsQPPPAAd911FxdffPHpbqrOMs5TOllCoRCvvfYakyZNYtasWVxwwQW0bNmSYDDIHXfcQVpaGuPHj2fDhg106dIFgIMHDxru0jE5piSdqLM6OPHPoYn333+fKVOm8POf/5zFixdz880306VLF8aPH0+PHj2Af7xpW3NuzQeD2uGJ7OxsXnjhBS699FIWLlxISkpKXXZTp9nRAjY1oYmCggK6devGggULjghLwJHjsfY1Nm/ezF133cWf/vQnCgsLyczMPOKcpUuX8sUXX3DjjTe6ICnpuKxatYrMzEzi4+MZNGgQ+/btY+7cuQwZMoS4uDimTJnC5MmTGTZsGIFAgJdeeons7Gz69+/Piy++GJmvwuEwxcXF5OTkUF5ezvz58wkGgzz44IOsWrWKN998k1tuuYXly5fTokUL2rZtW9ddlyRJks4ZlZWVTJs2jdGjR/P444+zZcsWPvjgA5577jm6dOlCSUkJzZo1o2PHjnXdVJ3BysrKWLRoEbfffnuk2uDR1A5PSMfLeUony969e6moqOB73/se5eXl5OTkcN1113HXXXfx7LPPMmXKFP74xz/SvHlz5yodF8eUpBNx1gYnjhaayM/P57bbboukwv7whz/w4x//mPbt25Obm0vv3r2JiYnhgw8+YMyYMRQUFJCSkvK1EEXtyhP/8R//waZNm4iPj6/L7uo0evXVVykpKaF58+b85Cc/IS0tjSlTphw1NHHw4EFefPFF7rzzTs4777yjhid27NjBjTfeSP369Zk7dy4tWrSwJJ2kb2XVqlUUFhaSn59PIBAgPj6eSZMmMWzYMKZPn86wYcMYOHAgBQUFzJo1i0ceeYSGDRuydOlS0tLSgH/MUeFwmCVLlvDQQw/x8ccf07JlS7Zs2cKcOXPo16/fMas1SZIkSTr1KioqeOaZZxgxYgQAv//978nKynKRW99IzYtk0qngPKWTqeZ7qL///e+RbbGvvvpq4uLiKC4uruPW6WzkmJL0TZyVvzEfT2gCoFmzZqSkpFBWVkabNm2IiYlh69atdO/enS+++IKoqCimT59O06ZNCYVCkcoTiYmJTJs2jb///e/07dvX0MQ5IhwOU1lZydNPP83atWsJh8MUFRWRkZHBCy+8QNeuXY8ITezfv5/09HS2bt3K3r17+dWvfkW9evWOGJ8Aq1evZsuWLUydOpXvfe97ddU9Sd8BNb/oZ2Rk0Lx5c9atW8fSpUuZNm0agwYNAmDgwIG8+uqrLF++nOeff57HH3+cpKQk1qxZQ9OmTSNfXNSEJqKioujVqxeTJ09m/PjxLF++nLy8PPr160coFDI0IUmSJNWhpKQkfvCDHxATE0NeXh5ZWVmEw2EXI/WNGJrQqeQ8pZOp5nuoJk2aALBkyRI++ugjxo4dCxx7O3bpWBxTkr6Js67ixLG25/jJT35yRGhi9erVjBgxgvXr17Nw4UIyMzPZsmUL3bt3p3HjxrRr1461a9dyww03MG3atEh44mjbd+jcUl5eTnx8PL/73e9YtGgR27Zto379+pSWlkaO2b9/P1dddRVbt26lcePGhMNhRo0axS9/+Uvq1asXedhWVlaSkZHBe++9x/r167n00kt9EEv61jZv3sykSZMoLCwkNzeX4cOHA1BVVUVCQgL3338/Tz31FACtW7emtLSUpk2bHvUto9qVJ9566y3y8vJYv349y5YtIz09/TT3TJIkSVJtX3zxBZmZmcTGxjJ79mw6dOhQ102SpCM4T+lUGjRoELNnz2b9+vVcdNFFdd0cfQc4piT9K2dd3Lh2aGLLli0UFBRw2223kZCQEDmmJjRRWlpKUVERmZmZlJWVRUIT06ZNIysriyFDhvD666+TnZ19RHiiJixhaOLcEwgESEtLIxwO8/nnn7Ny5Up2795N06ZN+eyzz7jgggv48ssvyczMZOfOnUydOpVWrVoxbNgwJkyYQFRUFEOGDImEJxo0aMCoUaOIiYnh4osvBjA0Iekbqx24KisrIz8/n6KiIsaNG0d2djYAhw8fjjwLW7RoAUDHjh0pKSnh/PPPP2Zp1tqVJ/r06cOhQ4eYNGlSJIUtSZIkqe4kJyfzyiuvsHPnThcjJZ2RnKd0quzbt48vvviCCRMmuMCtk8IxJenfOesqTgDMnDmTgQMHkp6eznPPPccPfvCDyM9Wr17NyJEjKS0tZdGiRfzwhz+krKyMnj170qhRIyZOnEi/fv2IiYmhqqqK7OxsZs+eTe/evSPhCStNnJtqKo4cOHCACRMmUFBQwOWXX07nzp15+umnSUlJ4a233uKuu+7ik08+Yfz48QwePJjY2Fjmz5/PkCFDOHjwIA8//HAkPHGse0jSiSgrK2PixInMmzePn/3sZ7Rq1YoLLriA1NRUrr32WoLBIDNnzuSxxx4jMTGR0tJSmjRpclz72dauPFFZWUlSUtJp6pUkSZKk42UVS0lnOucpnUzBYJCoqCi/U9dJ45iS9K+clcGJXbt28corrzBq1CjuvvtuHn74Ydq0acOaNWvIyclh3bp1FBcXk56ezq5du+jcuTP79+/npZde4qc//SkABw8ejGztkZWVRUlJCb1792b69OmkpKTUZfdUB2qHJiZOnEhBQQFdu3Zl6dKlAIwYMYLJkycTGxtLvXr1ePrpp7nlllto0KAB8FWliqKiIoYMGcKBAwcYM2YMgwcPJi4uri67Jek7ZOPGjeTk5LBmzRrGjh1Lz5496dq1a+TnkydP5rzzzmPMmDE0bNiQtWvXHnN7jmPxyw1JkiRJkiRJknQuOisjVS1atGD48OFMmDCBF154gby8PObMmROpNFFUVER6ejqhUIjKykp69epFTEwMf/vb3wiFQoRCoUho4u233+bLL7+ksrKSOXPmMH36dEKhUB33UKdTTWhi//79TJgwgWnTptGtWzfeeuutyDFjxoyJvLUN0LVrVxo0aEBVVRUAsbGxXHPNNTz33HPEx8fz7LPPsn379jrpj6TvpkOHDrF48WIeeughhg8fTps2bSgoKODxxx/nkksuoby8nPz8fJKSkk4oNAFuJSRJkiRJkiRJks5Nx7+acoZJSEjg/vvvJxQK8eijj/Lyyy+TkJBAUVERmZmZbN++nT//+c/06NGDJ554gvr16/Pggw8SCAS47777iI+Pp6SkhIcffphVq1Yxe/ZsvvzyS66++mpL9JxDaocmxo4dy/Tp07nyyitZsGBBZKuNmnERCATo2bMny5Yt45prrmH58uV06NCBQCBAVFQUCQkJ9O7dm7Zt21JaWkplZWUd907Sd0l6ejrbtm2jXbt2ADRq1Ij77rsPgOrqap5//nmioqJ4++23Tyg0IUmSJEmSJEmSdK46q1dUYmJiyM7OZs+ePcyYMYMFCxaQmZlJWVkZV111FRdffDG/+c1v6Ny5MxMmTCA6OpoRI0ZQv3592rVrx9ixY1m1ahVvvPEGP/rRjyxRfg6Kjo6msrKSUaNGMX36dDIyMnjrrbcioYn9+/eTmZlJeXk5TzzxBHfeeSejRo0iPz+fq6++mj/+8Y+0a9eOYDAIwKOPPsqKFSu49NJLadasWV12TdJ3UE1oorq6mri4OA4fPszLL79MQUFBZHuOZs2aGZqQJEmSJEmSJEn6BqLC4XC4rhtxNEcLMRwr2FBeXk4oFKJVq1a8++679OzZk2AwSDAY5KqrruK5557joosuory8nFGjRvHqq69y4YUX8umnnzJ37lz++7//m1AoRFRUlMGJc9Cf//xnLrroIv7zP/+TkpISEhISAKisrCQ9PZ2dO3cyfvx47rjjDho0aADAr371KwoKCmjWrBkrV66kbdu2fPbZZ9xzzz189NFHPPHEE2RlZdVltyR9hxzt+RcIBHj22WfJz88nJiaG9evX07hxY0MTkiRJkiRJkiRJ39AZG5yo8dFHH3HgwAEuvvjiY4YagsEgMTExbNmyhczMTJo0acKkSZNISkritttuIz09nf/7v/+LhCfy8vJ4/vnnufvuu5k5cyZw7FCGzg1btmyhbdu2kdDEwYMHycjI4J133mHy5MkMHz6c2NhYqqqqIsfUDk+sWLGC9u3b8+WXX3Lo0CFSU1MdU5JOSM3cEQwG+eKLLyLVa/55Ttm4cSO/+MUv2LRpE3PnzuXmm2+uoxZLkiRJkiRJkiSd3aLrugH/yqZNmxg8eDAPPPAAO3fuPOoxoVCImJgY3n//fXr06EFycjITJkzgf/7nf7j++ut5+eWXWb16NYMGDeLdd98lLS2NESNGcMcdd/Diiy/yzDPPRKpN6NzVuXNnEhISCAQCACxfvpz9+/cTFxfHgQMHIn9f+5gnn3ySYcOG8de//pXMzEy2bt1K48aNad68OYBjStI3VhOOCAQCzJ8/n/z8fIqLi4GvzymtW7emf//+REdHM2vWLNavX18XTZYkSZIkSZIkSTrrnVHBidrFL959910mT57M0qVL6dGjB2lpaUc9Jzo6mvLycq644goApk6dyq233gp8VcY8KyuLN998k9WrVzNy5EhWrlxJmzZtGDVqFD/96U/p0aMH0dFn1D+D6lBNefvevXvz5JNP0q1bN8aNG0d+fj579uyJHPPP4Ym//e1v/Nd//Rdvv/2240nSCQkEApFKE4sXL+bhhx9mypQpTJw4kZKSkq8dn5yczL333su4ceOYN28eBQUFfPrpp3XQckmSJEmSJEmSpLPbGbHCGwqFgH+8Tbt582amTJnCggULeOaZZxg9ejQA1dXVR5xXs3i9ceNG0tLSCAaDkZLm1dXVkUXw+Ph4WrZsyYIFCxg5ciSLFy+mXbt2vPDCC3Tq1Om09FFnj5oAz4033shjjz3GFVdcQW5uLjNmzDhmeCI7O5tPP/2UAQMGcOjQoTpru6Szy4cffsjcuXM5fPgwsbGxVFdXs2jRIrKzs6murmbSpEkUFxcze/ZsKisrv3Z+gwYNuPvuuxk8eDCvvPIKr732Wh30QpIkSZIkSZIk6ewWW9cNAPj9739PQkICffr0Ydu2bUyePJmioiJ+9KMfcdlll1FaWspll11GXFxcpHz5ddddR/369QHIysoiPj6ekSNH0q9fP9544w169uwJQElJCaNGjWLbtm2MHj2aqVOn8uSTT5KRkUFiYmId9lpnqqioqEi5/Ouuuw6A3NxcHnvsMQB++ctfkpycHAlPxMbG8tRTTxEKhbjnnnuoV69eHbZe0tli79695ObmsnjxYioqKhgwYABLliwhOzsb+Or5lZKSQseOHWnZsiUNGjQ46nVSU1MZMmQIW7duJScnhyuvvJLu3bufzq5IkiRJkiRJkiSd1aLCtffHqAOrVq0iMzOT+Ph4Bg0axL59+5g7dy5DhgwhLi6OKVOmMHnyZIYNG0YgEOCll14iOzub/v378+KLLxIKhYiOjiYcDlNcXExOTg7l5eXMnz+fYDDIgw8+yKpVq3jzzTe55ZZbWL58OS1atKBt27Z12W2dBWrCEwBFRUXk5uZSWlrKuHHjGDRoEE2aNAEgGAwSExNTl02VdBY6dOgQc+bMYfDgwVx11VXceeed5OXlEQ6HWbZsGRdeeGFkHtqxYweHDh2iXbt2kXnpn73++usMGDCAW2+9lZkzZ1K/fn23DpIkSZIkSZIkSToOZ0RworCwkPz8fAKBAPHx8UyaNIlhw4Yxffp0hg0bxsCBAykoKGDWrFk88sgjNGzYkKVLl5KWlgb8Y4E7HA6zZMkSHnroIT7++GNatmzJli1bmDNnDv369TtiIVw6HrXHzMKFC8nLy2PVqlWMHTuWnJwc4uLi6riFks5mFRUVPPLII0ybNo34+HjatGnD0qVLSU1NjQQDAYYOHUphYSHLli2jdevWR1yj9jyVlZXFxo0b2bRpU2TrKkmSJEmSJEmSJP1rdfYqak1eIyMjg5///Of06NGD6Ohopk2bxrBhwwAYOHAgV1xxBcuXL+f555/nscceIykpiTVr1pCWlkYwGASO3FqhV69eTJ48ma5du7Jlyxby8vLo168foVCorrqqs1jN2ALo3bs3999/Px06dKB9+/aGJiSdsJp5JSkpifbt25OcnExCQgIFBQWkpqZ+Lei3c+dOduzYwf79+792raioqMgz7sorr+Szzz7jt7/97RH3kSRJkiRJkiRJ0rHVWXCiZkFo8+bNPProo5SWlpKfn8+gQYMAqKqqol69emRkZPDBBx8wbNgw6tevz9q1a2natCmBQOCI7RFqhyeuueYaHnroIa666ipyc3NZvXo10dHRVpvQCakdnujXrx9FRUXceuutddwqSWermmdVdXU1CxcuZMaMGQQCASoqKti0aRPbt28nKirqiEBEw4YNadiwIYmJiZH5qHYooqYyxQ033ADA9u3bAXzuSZIkSZIkSZIkHYfTHpyovdBTVlZGfn4+RUVFjBs3juHDhwNw+PBhEhISAGjRogUAHTt2ZN26dZHQRGxs7NeuXTs80adPHx588EG6dOlCkyZNTn3H9J1WOzxRs0WMJH1TNc+oYDBIcXEx2dnZVFVVsXDhQtq2bUtubi79+/fn8ccf5+OPP45UVkpISCAxMZFGjRpFwhC1QxHbt2/nL3/5C9XV1XTv3p1AIMDBgwetOCFJkiRJkiRJknQcosJ1tKpSVlbGxIkTmTdvHj/72c9o1aoVF1xwAampqVx77bUEg0FmzpzJY489RmJiIqWlpTRp0uSYoYnaahamwuEwlZWVJCUlnaZeSZJ0dDXPpkAgwOLFi8nOzgZgxYoVpKSk0LdvXwoLC+nYsSNbt26lcePGdOjQgRtuuIE5c+ZQUVHBokWLSE5OJhQK8fnnn1NSUsLGjRtZsmQJ8+bNo1OnTlRVVREdHe12QpIkSZIkSZIkScfpXycQTpGNGzeSk5PDmjVrGDt2LD179qRr166Rn0+ePJnzzjuPMWPG0LBhQ9asWXPcoQk4svKEoQlJ0pmgJjQxf/58xo0bR0xMDCtWrKBp06YAXH755RQWFjJ06FC6dOlCQUEBa9euJS8vj1AoRDAY5Nprr2XPnj1HrSjxySef0KlTp0jFJkmSJEmSJEmSJB2fOglOHDp0iMWLF5Obm8vw4cPZu3cvBQUF7N+/n9dff53y8nIKCwtJSkpi7dq1/3J7jmNxX3dJ0plmz549zJgxgw0bNjB69OhIaAKgU6dOACQnJ5Oens4VV1zBvn37WLlyJXv27GHZsmXs3r2biooK4uLiSExMJDU1la5du5KamsqNN95YV92SJEmSJEmSJEk6q9VJcCI9PZ1t27bRrl07ABo1asR9990HQHV1Nc8//zxRUVG8/fbbJxSakCTpTNSsWTPuv/9+3nnnHfLy8mjfvj233347AImJiQB89NFHwFcBwOTkZLKysgC4/fbbiYqK4sCBA8THxxMTE/O1kGBNtSVJkiRJkiRJkiQdv+i6unFNaKK6uhqAw4cPM3PmTAoKCoiNjeXtt9+mWbNmhiYkSd8Z4XCY66+/nlmzZtG9e3eaNm1KMBgEvqo0ATBv3jx2795NdHQ0oVAI+OoZWROoSExMjIQmam/VAVZbkiRJkiRJkiRJOhGnPTjxz4s8cXFxBAIBfv3rXzNu3DgaNWrEhg0bDE1Ikr5zasIO119/PXPnzqVXr17ExMQA/3g+rlu3jptuuokdO3YQHf3VY/r9999nwIABzJ49O3Kd2n9KkiRJkiRJkiTpxJ3S4ETNIlAwGOSvf/0rwFHfkH333Xd54YUX2LFjB0888QSNGzcGMDQhSfrOqQk7nH/++cTHx0eeibt27QKgbdu2bNiwgZtvvpny8nIASktLWb9+PZ9//nndNFqSJEmSJEmSJOk77JQFJ2r2WQ8EAsyfP5/8/HyKi4uBr78h27p1a/r37090dDSzZs1i/fr1p6pZkiSdUWqeiRUVFQCMHDmSMWPGsHnzZvr27UtlZSX79u0DoEuXLnXVTEmSJEmSJEmSpO+sU1LSoWaLjWAwyOLFi3n44Yd577332LBhA3FxcVx99dVHHJ+cnMy9995LKBTikUceISkpiYkTJ3LhhReeiuZJknTGqHlmrlu3DoBOnTrRr18/Dh06xMSJE8nIyKCqqormzZvTqlWrSDBRkiRJkiRJkiRJJ8dJqzjx4YcfMnfuXA4fPkxsbCzV1dUsWrSI7OxsqqurmTRpEsXFxcyePZvKysqvnd+gQQPuvvtuBg8ezCuvvMJrr712spomSdIZq2ZbqrKyMtLS0vj+979Po0aNyMnJYdSoUezatYsPP/yQbt260bJlS0MTkiRJkiRJkiRJJ9lJqTixd+9ecnNzWbx4MRUVFQwYMIAlS5aQnZ0NQElJCSkpKXTs2JGWLVvSoEGDo14nNTWVIUOGsHXrVnJycrjyyivp3r37yWiiJElnrPnz57Nt2zbOP/98EhMTCYfDNGrUiAceeIDi4mLWrFlDu3btAKw4IUmSJEmSJEmSdJKdlIoTCQkJ9O7dm8rKSl5++WVef/31SGhi2bJlpKSkEA6HycrKonHjxnzwwQeEw+GjXqtz584MHDiQcDjM008/zf79+wmFQiejmZIknZG6d+/OnDlzmDNnTiQ4EQqFaNy4MU899RQ//vGP+cUvfgFgaEKSJEmSJEmSJOkkiwofK8HwDVVUVPDII48wbdo04uPjadOmDUuXLiU1NZVQKER09FcZjaFDh1JYWMiyZcto3br1Edeo/RZtVlYWGzduZNOmTTRr1uxkNFGSpLNSdXU1cXFxdd0MSZIkSZIkSZKk76RvXXGiJneRlJRE+/btSU5OJiEhgYKCAlJTU79WUnznzp3s2LGD/fv3f+1aUVFRkeoSV155JZ999hm//e1vj7iPJEnnGkMTkiRJkiRJkiRJp863Ck7UhCKqq6tZuHAhM2bMIBAIUFFRwaZNm9i+fTtRUVFHBCIaNmxIw4YNI6XIa64TadD/r0xxww03ALB9+3bA0uSSJEmSJEmSJEmSJOnkO+HgRE1oIhgMUlxcTHZ2NlVVVSxcuJC2bduSm5tL//79efzxx/n4448JBoMAJCQkkJiYSKNGjSJhiNqhiO3bt/OXv/yF6upqunfvTiAQ4ODBg1ackCRJkiRJkiRJkiRJJ11U+AQSCTWhiUAgwOLFi8nOzgZgxYoVpKSk0LdvXwoLC+nYsSNbt26lcePGdOjQgRtuuIE5c+ZQUVHBokWLSE5OJhQK8fnnn1NSUsLGjRtZsmQJ8+bNo1OnTlRVVREdHW2JckmSJEmSJEmSJEmSdErEnshJNaGJ+fPnM27cOGJiYlixYgVNmzYF4PLLL6ewsJChQ4fSpUsXCgoKWLt2LXl5eYRCIYLBINdeey179uw5akWJTz75hE6dOpGQkHByeilJkiRJkiRJkiRJknQUJxScANizZw8zZsxgw4YNjB49OhKaAOjUqRMAycnJpKenc8UVV7Bv3z5WrlzJnj17WLZsGbt376aiooK4uDgSExNJTU2la9eupKamcuONN377nkmSJEmSJEmSJEmSJP0bJxycaNasGffffz/vvPMOeXl5tG/fnttvvx2AxMREAD766CPgqwoVycnJZGVlAXD77bcTFRXFgQMHiI+PJyYmhqioqCOuX7MdiCRJkiRJkiRJkiRJ0qkSfaInhsNhrr/+embNmkX37t1p2rQpwWAQ+KrSBMC8efPYvXs30dHRhEIhAA4fPhwJVCQmJkZCE7W36gAMTUiSJEmSJEmSJEmSpFPuhIMTNWGH66+/nrlz59KrVy9iYmIAIiGIdevWcdNNN7Fjxw6io7+61fvvv8+AAQOYPXt25Dq1/5QkSZIkSZIkSZIkSTpdTjg4Af8IO5x//vnEx8dHAhO7du0CoG3btmzYsIGbb76Z8vJyAEpLS1m/fj2ff/75t7m1JEmSJEmSJEmSJEnSt/atghP/rCZIUVFRAcDIkSMZM2YMmzdvpm/fvlRWVrJv3z4AunTpcjJvLUmSJEmSJEmSJEmS9I3FnsyLBQIBYmNjWbduHQCdOnWiX79+HDp0iIkTJ5KRkUFVVRXNmzenVatWhMNht+iQJEmSJEmSJEmSJEl15qQGJ2Jjv7pcWVkZaWlpfP/736dRo0bk5OQQExPDjBkz2LNnD3369KFly5Yn89aSJEmSJEmSJEmSJEnf2EndqgNg/vz5bNu2jcTERBITEwmHwzRq1IgHHniADh06ANCuXTsAwuHwyb69JEmSJEmSJEmSJEnScYsKn+T0wr59+9i0aRPnn38+nTt3JhQKARAdHU1paSlPPPEEo0eP5uKLLz6Zt5UkSZIkSZIkSZIkSfrGTnpw4t+prq4mLi7udN5SkiRJkiRJkiRJkiTpqE57cEKSJEmSJEmSJEmSJOlMEV3XDZAkSZIkSZIkSZIkSaorBickSZIkSZIkSZIkSdI5y+CEJEmSJEmSJEmSJEk6ZxmckCRJkiRJkiRJkiRJ5yyDE5IkSZIkSZIkSZIk6ZxlcEKSJEmSJEmSJEmSJJ2zDE5IkiRJkiRJkiRJkqRzlsEJSZIkSZIkSZIkSZJ0zjI4IUmSJEmSJEmSJEmSzlkGJyRJkiRJkiRJkiRJ0jnL4IQkSZIkSZIkSZIkSTpnGZyQJEmSJEmSJEmSJEnnrP8HR+qhwd1uXSUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 2500x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用missingno库进行可视化展示\n",
    "missingno.bar(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a019d440",
   "metadata": {},
   "outputs": [],
   "source": [
    "#缺失值处理-样条插值法\n",
    "import pandas as pd\n",
    "from scipy.interpolate import UnivariateSpline\n",
    "\n",
    "# 定义一个函数来处理缺失值\n",
    "def spline_interpolation(df, column):\n",
    "    # 找到列中的缺失值\n",
    "    mask = df[column].isnull()\n",
    "    # 非缺失值\n",
    "    x = df[column].notnull()\n",
    "    # 使用样条插值法进行插值\n",
    "    f = UnivariateSpline(df[column][x].index, df[column][x], s=0)\n",
    "    # 将插值结果填充到缺失值位置\n",
    "    df.loc[mask, column] = f(df[column][mask].index)\n",
    "\n",
    "# 列名列表\n",
    "columns_to_interpolate = [\"最低交易价格\", \"平均交易价格\", \"最高交易价格\"]\n",
    "\n",
    "# 对每个列进行插值处理\n",
    "for column in columns_to_interpolate:\n",
    "    spline_interpolation(df, column)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "955cb4f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "农产品市场所在省份    0\n",
       "市场名称映射值      0\n",
       "农产品类别        0\n",
       "农产品名称映射值     0\n",
       "规格           0\n",
       "区域           0\n",
       "颜色           0\n",
       "单位           0\n",
       "最低交易价格       0\n",
       "平均交易价格       0\n",
       "最高交易价格       0\n",
       "数据入库时间       0\n",
       "数据发布时间       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#检查是否有缺失值\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c05fdef",
   "metadata": {},
   "source": [
    "#### 重复值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f888e130",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "151115"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看重复值\n",
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2e30cfb4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#删除重复值\n",
    "df.drop_duplicates(keep='first', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2a87234e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#检查是否删除成功\n",
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e12245c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=1951933, step=1)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#索引重置\n",
    "df.index = range(df.shape[0])\n",
    "df.index"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d189cd23",
   "metadata": {},
   "source": [
    "#####  异常值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e3766bcf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 确保你的数据集中包含列：最低交易价格, 平均交易价格, 最高交易价格  \n",
    "columns = ['最低交易价格', '平均交易价格', '最高交易价格']  \n",
    "  \n",
    "# 使用箱线图进行异常值检测（虽然这里是用IQR方法，但箱线图仍然是一个很好的可视化工具）  \n",
    "plt.figure(figsize=(15, 5))  \n",
    "  \n",
    "# 绘制箱线图  \n",
    "for i, column in enumerate(columns, 1):  \n",
    "    plt.subplot(1, 3, i)\n",
    "    plt.ylim(0,800)\n",
    "    sns.boxplot(y=df[column])  \n",
    "    plt.title(f'{column} 箱线图')  \n",
    "plt.tight_layout()  \n",
    "plt.show()  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "50483e91",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Column 最低交易价格 IQR outliers range: (-6.25, 11.75)\n",
      "Column 平均交易价格 IQR outliers range: (-5.25, 14.350000000000001)\n",
      "Column 最高交易价格 IQR outliers range: (-7.200000000000001, 14.240000000000002)\n",
      "IQR异常值数据：\n",
      "        农产品市场所在省份                           市场名称映射值 农产品类别  \\\n",
      "0              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
      "1              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
      "2              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
      "3              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
      "4              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
      "...           ...                               ...   ...   \n",
      "1951645        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
      "1951718        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
      "1951792        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
      "1951835        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
      "1951867        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
      "\n",
      "                                 农产品名称映射值  规格  区域   颜色     单位  最低交易价格  平均交易价格  \\\n",
      "0        9FABF2093EC485754BCCA2E513205297  \\N  \\N   红色  20支/扎    19.0    22.0   \n",
      "1        5E0CB63A28D060666E38F5417E1FC534  \\N  \\N   红色  20支/扎    18.0    22.0   \n",
      "2        FC7FE9E4A9E19A0DCA856E211B456728  \\N  \\N   粉色  20支/扎    16.0    19.0   \n",
      "3        C6D05CB73BA09902CCDC27C4B9D49A48  \\N  \\N  黑红色  20支/扎    16.0    18.0   \n",
      "4        427BAA73BD3D384FF704D4E13BF01EB5  \\N  \\N   粉色  20支/扎    20.0    24.0   \n",
      "...                                   ...  ..  ..  ...    ...     ...     ...   \n",
      "1951645  2D994549C946ADDBADE8C96839F05C76  \\N  \\N   \\N     \\N    12.0    12.0   \n",
      "1951718  2D994549C946ADDBADE8C96839F05C76  \\N  \\N   \\N     \\N    12.0    12.0   \n",
      "1951792  DE578B761C2B366EF1F52E0B733C583A  \\N  \\N   \\N     \\N    12.0    12.0   \n",
      "1951835  DE578B761C2B366EF1F52E0B733C583A  \\N  \\N   \\N     \\N    12.0    12.0   \n",
      "1951867  DE578B761C2B366EF1F52E0B733C583A  \\N  \\N   \\N     \\N    12.0    12.0   \n",
      "\n",
      "         最高交易价格              数据入库时间     数据发布时间  是IQR异常值  \n",
      "0          24.0 2016-07-18 15:05:19 2015-11-27     True  \n",
      "1          24.0 2016-07-18 15:05:19 2015-11-27     True  \n",
      "2          22.0 2016-07-18 15:05:19 2015-11-27     True  \n",
      "3          20.0 2016-07-18 15:05:19 2015-11-27     True  \n",
      "4          26.0 2016-07-18 15:05:19 2015-11-27     True  \n",
      "...         ...                 ...        ...      ...  \n",
      "1951645    12.0 2016-07-18 15:34:18 2010-12-28     True  \n",
      "1951718    12.0 2016-07-18 15:34:18 2010-12-20     True  \n",
      "1951792    12.0 2016-07-18 15:34:18 2010-12-14     True  \n",
      "1951835    12.0 2016-07-18 15:34:18 2010-12-13     True  \n",
      "1951867    12.0 2016-07-18 15:34:18 2010-12-06     True  \n",
      "\n",
      "[245215 rows x 14 columns]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x500 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 确保你的数据集中包含列：最低交易价格, 平均交易价格, 最高交易价格  \n",
    "columns = ['最低交易价格', '平均交易价格', '最高交易价格']  \n",
    "plt.figure(figsize=(15, 5))  \n",
    "# 使用IQR进行异常值检测  \n",
    "iqr_outliers = []  \n",
    "  \n",
    "for column in columns:  \n",
    "    Q1 = df[column].quantile(0.25)  \n",
    "    Q3 = df[column].quantile(0.75)  \n",
    "    IQR = Q3 - Q1  \n",
    "    lower_bound = Q1 - 1.5 * IQR  \n",
    "    upper_bound = Q3 + 1.5 * IQR  \n",
    "      \n",
    "    # 标记异常值  \n",
    "    outlier_mask = (df[column] < lower_bound) | (df[column] > upper_bound)  \n",
    "    iqr_outliers.append(outlier_mask)  \n",
    "      \n",
    "    # 打印异常值范围（可选）  \n",
    "    print(f\"Column {column} IQR outliers range: ({lower_bound}, {upper_bound})\")  \n",
    "# 合并所有列的异常值标记  \n",
    "iqr_outliers_combined = np.any(np.column_stack(iqr_outliers), axis=1)  \n",
    "  \n",
    "# 创建一个标记异常值的DataFrame  \n",
    "df_with_iqr_outliers = df.copy()  \n",
    "df_with_iqr_outliers['是IQR异常值'] = iqr_outliers_combined  \n",
    "  \n",
    "# 打印异常值数据  \n",
    "print(\"IQR异常值数据：\")  \n",
    "print(df_with_iqr_outliers[df_with_iqr_outliers['是IQR异常值']])  \n",
    "# 可视化异常值（使用散点图）  \n",
    "plt.figure(figsize=(15, 5))  \n",
    "  \n",
    "for i, column in enumerate(columns, 1):  \n",
    "    plt.subplot(1, 3, i)  \n",
    "    sns.scatterplot(x=df.index, y=df[column], hue=df_with_iqr_outliers['是IQR异常值'], palette=['blue', 'red'])  \n",
    "    plt.title(f'{column} 散点图（IQR异常值标记）')  \n",
    "    plt.axhline(y=df[column].mean(), color='green', linestyle='--', label='均值')  \n",
    "    plt.legend(labels=['正常', 'IQR异常值', '均值'])  \n",
    "plt.tight_layout()  \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8100f45d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "异常值行数据:\n",
      "        农产品市场所在省份                           市场名称映射值 农产品类别  \\\n",
      "0              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
      "1              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
      "2              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
      "3              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
      "4              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
      "...           ...                               ...   ...   \n",
      "1869267        山东  DBC7E4EB1DF15BB374DB063F33DAD1D7    蔬菜   \n",
      "1869288        山东  DBC7E4EB1DF15BB374DB063F33DAD1D7    蔬菜   \n",
      "1945247        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
      "1945290        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
      "1945333        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
      "\n",
      "                                 农产品名称映射值  规格  区域   颜色     单位  最低交易价格  平均交易价格  \\\n",
      "0        9FABF2093EC485754BCCA2E513205297  \\N  \\N   红色  20支/扎    19.0    22.0   \n",
      "1        5E0CB63A28D060666E38F5417E1FC534  \\N  \\N   红色  20支/扎    18.0    22.0   \n",
      "2        FC7FE9E4A9E19A0DCA856E211B456728  \\N  \\N   粉色  20支/扎    16.0    19.0   \n",
      "3        C6D05CB73BA09902CCDC27C4B9D49A48  \\N  \\N  黑红色  20支/扎    16.0    18.0   \n",
      "4        427BAA73BD3D384FF704D4E13BF01EB5  \\N  \\N   粉色  20支/扎    20.0    24.0   \n",
      "...                                   ...  ..  ..  ...    ...     ...     ...   \n",
      "1869267  618BECB019CDD4FFC01EAA6C80179F3F  \\N  \\N   \\N     \\N    10.0    13.0   \n",
      "1869288  618BECB019CDD4FFC01EAA6C80179F3F  \\N  \\N   \\N     \\N    10.0    13.0   \n",
      "1945247  82E3E8AA8A835BE957F1461232457B46  \\N  \\N   \\N     \\N    10.0    14.0   \n",
      "1945290  82E3E8AA8A835BE957F1461232457B46  \\N  \\N   \\N     \\N    10.0    14.0   \n",
      "1945333  82E3E8AA8A835BE957F1461232457B46  \\N  \\N   \\N     \\N    10.0    14.0   \n",
      "\n",
      "         最高交易价格              数据入库时间     数据发布时间  \n",
      "0          24.0 2016-07-18 15:05:19 2015-11-27  \n",
      "1          24.0 2016-07-18 15:05:19 2015-11-27  \n",
      "2          22.0 2016-07-18 15:05:19 2015-11-27  \n",
      "3          20.0 2016-07-18 15:05:19 2015-11-27  \n",
      "4          26.0 2016-07-18 15:05:19 2015-11-27  \n",
      "...         ...                 ...        ...  \n",
      "1869267    14.4 2016-07-18 15:34:18 2014-04-27  \n",
      "1869288    14.4 2016-07-18 15:34:18 2014-04-25  \n",
      "1945247    16.0 2016-07-18 15:34:18 2012-06-10  \n",
      "1945290    16.0 2016-07-18 15:34:18 2012-06-08  \n",
      "1945333    16.0 2016-07-18 15:34:18 2012-06-07  \n",
      "\n",
      "[245215 rows x 13 columns]\n",
      "IQR准则检测出的异常值比例为:\n",
      " 0.12562675050834224\n",
      "清理后的数据框:\n",
      "        农产品市场所在省份                           市场名称映射值 农产品类别  \\\n",
      "0              云南  F84FFE619392149018384D16BE6FF525   玫瑰花   \n",
      "1              云南  F84FFE619392149018384D16BE6FF525   康乃馨   \n",
      "2              云南  F84FFE619392149018384D16BE6FF525   康乃馨   \n",
      "3              云南  F84FFE619392149018384D16BE6FF525   康乃馨   \n",
      "4              云南  F84FFE619392149018384D16BE6FF525   康乃馨   \n",
      "...           ...                               ...   ...   \n",
      "1706713        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
      "1706714        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
      "1706715        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
      "1706716        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
      "1706717        湖南  53740BC1D5041A8ED06E3DBBA320A907    蔬菜   \n",
      "\n",
      "                                 农产品名称映射值  规格  区域  颜色     单位  最低交易价格  平均交易价格  \\\n",
      "0        534C650F1725506DA76EC255755177F2  \\N  \\N  黄色  10支/扎     8.0    11.0   \n",
      "1        699BCDE7CDDF38710BD29469B43D46A5  \\N  \\N  各色  20支/扎     7.0     8.0   \n",
      "2        4CD002EE95094A64815311C5A77D42B8  \\N  \\N  红色  20支/扎     8.0     9.0   \n",
      "3        4A39486762EA71A63B59FF60143B177F  \\N  \\N  粉色  20支/扎     6.0     7.0   \n",
      "4        C22BB83DD87BB6CE53DE87918DAE2AE0  \\N  \\N  绿色  20支/扎     7.0     8.0   \n",
      "...                                   ...  ..  ..  ..    ...     ...     ...   \n",
      "1706713  3E0E45ECDD52843D41C487FBB7BEF094  \\N  \\N  \\N     \\N     1.0     1.0   \n",
      "1706714  552CD2C91A20DA48CD8FE41F7F02AFE3  \\N  \\N  \\N     \\N     3.0     3.0   \n",
      "1706715  1C5F3F6AE7E0232791D9170A8125DD4D  \\N  \\N  \\N     \\N     4.0     4.0   \n",
      "1706716  B6BEB81F246F19A5F0CF483DDD008DD2  \\N  \\N  \\N     \\N     3.6     3.6   \n",
      "1706717  74C9227D95C45856683C457BBCD04D90  \\N  \\N  \\N     \\N     2.2     2.2   \n",
      "\n",
      "         最高交易价格              数据入库时间     数据发布时间  \n",
      "0          13.0 2016-07-18 15:05:19 2015-11-27  \n",
      "1           9.0 2016-07-18 15:05:19 2015-11-27  \n",
      "2          10.0 2016-07-18 15:05:19 2015-11-27  \n",
      "3           9.0 2016-07-18 15:05:19 2015-11-27  \n",
      "4           9.0 2016-07-18 15:05:19 2015-11-27  \n",
      "...         ...                 ...        ...  \n",
      "1706713     1.0 2016-07-18 15:34:18 2010-12-01  \n",
      "1706714     3.0 2016-07-18 15:34:18 2010-12-01  \n",
      "1706715     4.0 2016-07-18 15:34:18 2010-12-01  \n",
      "1706716     3.6 2016-07-18 15:34:18 2010-12-01  \n",
      "1706717     2.2 2016-07-18 15:34:18 2010-12-01  \n",
      "\n",
      "[1706718 rows x 13 columns]\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 假设df是你的原始数据框\n",
    "# columns 是你想要检测异常值的列名列表\n",
    "columns = ['最低交易价格', '平均交易价格', '最高交易价格']\n",
    "\n",
    "# 定义一个函数来检测异常值\n",
    "def detect_and_remove_outliers(df, columns):\n",
    "    outliers = pd.DataFrame()\n",
    "    for column in columns:\n",
    "        # 计算四分位数\n",
    "        Q1 = df[column].quantile(0.25)\n",
    "        Q3 = df[column].quantile(0.75)\n",
    "        IQR = Q3 - Q1  # 四分位距\n",
    "\n",
    "        # 定义异常值的阈值\n",
    "        lower_bound = Q1 - 1.5 * IQR\n",
    "        upper_bound = Q3 + 1.5 * IQR\n",
    "\n",
    "        # 筛选出异常值\n",
    "        outlier_indices = df[(df[column] < lower_bound) | (df[column] > upper_bound)].index\n",
    "\n",
    "        # 将异常值行添加到结果数据框中\n",
    "        if not outliers.empty:\n",
    "            outliers = outliers.append(df.loc[outlier_indices])\n",
    "        else:\n",
    "            outliers = df.loc[outlier_indices]\n",
    "\n",
    "    # 去除重复的行（如果有的话）\n",
    "    outliers = outliers.drop_duplicates()\n",
    "\n",
    "    # 删除异常值并返回处理后的原表df\n",
    "    df_cleaned = df.drop(index=outliers.index).reset_index(drop=True)\n",
    "    return df_cleaned, outliers\n",
    "\n",
    "# 检测并删除异常值，同时返回处理后的df和异常值\n",
    "df_cleaned, outliers = detect_and_remove_outliers(df, columns)\n",
    "print(\"异常值行数据:\")\n",
    "print(outliers)\n",
    "print('IQR准则检测出的异常值比例为:\\n', len(outliers)/len(df))\n",
    "\n",
    "# 打印清理后的数据框以验证\n",
    "print(\"清理后的数据框:\")\n",
    "print(df_cleaned)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "42798856",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df_cleaned \n",
    "df=df.loc[df['最高交易价格']>0,:]\n",
    "df=df.loc[df['平均交易价格']>0,:]\n",
    "df=df.loc[df['最低交易价格']>0,:]\n",
    "df=df.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "dcdbce4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = df.copy()\n",
    "df2 = df.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7bd78ed",
   "metadata": {},
   "source": [
    "#### 对所在省份进行区域划分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7eeb8a42",
   "metadata": {},
   "outputs": [],
   "source": [
    "region_code_mapping = {  \n",
    "    '北京': 1, '天津': 1, '河北': 1, '辽宁': 1, '上海': 1, '江苏': 1, '浙江': 1, '福建': 1, '山东': 1, '广东': 1,  # 东部  \n",
    "    '山西': 2, '吉林': 2, '黑龙江': 2, '安徽': 2, '江西': 2, '河南': 2, '湖北': 2, '湖南': 2,  # 中部  \n",
    "    '内蒙古': 3, '广西': 3, '重庆': 3, '四川': 3, '贵州': 3, '云南': 3, '西藏': 3, '陕西': 3, '甘肃': 3, '青海': 3, '宁夏': 3, '新疆': 3  # 西部  \n",
    "}  \n",
    "  \n",
    "df1['区域'] = df1['农产品市场所在省份'].map(region_code_mapping)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a824325",
   "metadata": {},
   "source": [
    "### 独热编码-’农产品市场所在省份', '农产品类别'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "be3a0906",
   "metadata": {},
   "outputs": [],
   "source": [
    "one_hot_encoded_df = pd.get_dummies(df2[['农产品市场所在省份', '农产品类别']])  \n",
    "  # 使用 pd.merge 将独热编码后的 DataFrame 与 df1 合并，基于索引  \n",
    "df1 = pd.merge(one_hot_encoded_df, df1, left_index=True, right_index=True)  \n",
    "df1 = df1.drop(['农产品市场所在省份', '农产品类别'], axis=1)  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b6f02c2",
   "metadata": {},
   "source": [
    "### 标签编码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7aae7e80",
   "metadata": {},
   "outputs": [],
   "source": [
    "#市场名称映射值\n",
    "import pandas as pd  \n",
    "from sklearn.preprocessing import LabelEncoder  \n",
    "\n",
    "# 初始化一个 LabelEncoder  \n",
    "label_encoder = LabelEncoder()  \n",
    "   \n",
    "unique_colors = df1['市场名称映射值'].unique()  \n",
    "color_to_index = dict(zip(unique_colors, label_encoder.fit_transform(unique_colors)))  \n",
    "index_to_color = dict(zip(label_encoder.transform(unique_colors), unique_colors))  \n",
    "  \n",
    "# 返回原列，并填充编码  \n",
    "df1['市场名称映射值'] = df1['市场名称映射值'].map(color_to_index) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "2f8b901b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#农产品名称映射值\n",
    "import pandas as pd  \n",
    "from sklearn.preprocessing import LabelEncoder  \n",
    "\n",
    "# 初始化一个 LabelEncoder  \n",
    "label_encoder = LabelEncoder()  \n",
    "  \n",
    "unique_colors = df1['农产品名称映射值'].unique()  \n",
    "color_to_index = dict(zip(unique_colors, label_encoder.fit_transform(unique_colors)))  \n",
    "index_to_color = dict(zip(label_encoder.transform(unique_colors), unique_colors))  \n",
    "  \n",
    "# 返回原列，并填充编码  \n",
    "df1['农产品名称映射值'] = df1['农产品名称映射值'].map(color_to_index) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "468b1978",
   "metadata": {},
   "outputs": [],
   "source": [
    "#农产品名称映射值\n",
    "import pandas as pd  \n",
    "from sklearn.preprocessing import LabelEncoder  \n",
    "\n",
    "# 初始化一个 LabelEncoder  \n",
    "label_encoder = LabelEncoder()  \n",
    "  \n",
    "unique_colors = df1['单位'].unique()  \n",
    "color_to_index = dict(zip(unique_colors, label_encoder.fit_transform(unique_colors)))  \n",
    "index_to_color = dict(zip(label_encoder.transform(unique_colors), unique_colors))  \n",
    "  \n",
    "# 返回原列，并填充编码  \n",
    "df1['单位'] = df1['单位'].map(color_to_index) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "66ac20a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd  \n",
    "from sklearn.preprocessing import LabelEncoder  \n",
    "\n",
    "# 初始化一个 LabelEncoder  \n",
    "label_encoder = LabelEncoder()  \n",
    "  \n",
    "# 直接对 '颜色' 列中的所有唯一值进行编码，包括 '\\\\N'  \n",
    "unique_colors = df1['颜色'].unique()  \n",
    "color_to_index = dict(zip(unique_colors, label_encoder.fit_transform(unique_colors)))  \n",
    "index_to_color = dict(zip(label_encoder.transform(unique_colors), unique_colors))  \n",
    "  \n",
    "# 返回原列，并填充编码  \n",
    "df1['颜色'] = df1['颜色'].map(color_to_index) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e5001915",
   "metadata": {},
   "outputs": [],
   "source": [
    "#对日期进行处理\n",
    "df1['数据入库年份']= df1['数据入库时间'].dt.year\n",
    "df1['数据入库月份']= df1['数据入库时间'].dt.month\n",
    "df1['数据入库日份']= df1['数据入库时间'].dt.day\n",
    "\n",
    "df1['数据发布年份']= df1['数据发布时间'].dt.year\n",
    "df1['数据发布月份']= df1['数据发布时间'].dt.month\n",
    "df1['数据发布日份']= df1['数据发布时间'].dt.day\n",
    "\n",
    "df1 = df1.drop(['数据入库时间','数据发布时间'],axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe7d1e4c",
   "metadata": {},
   "source": [
    "## 对数据集product_market进行处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1ee6e13e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2=pd.read_csv(r'F:\\大三上\\数据分析与数据挖掘\\06\\小课\\数据源\\product_market.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "aef4080a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 36661 entries, 0 to 36660\n",
      "Data columns (total 10 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   农产品市场所在省份  36661 non-null  object \n",
      " 1   市场名称映射值    36661 non-null  object \n",
      " 2   农产品类别      36661 non-null  object \n",
      " 3   农产品名称映射值   36661 non-null  object \n",
      " 4   规格         0 non-null      float64\n",
      " 5   区域         0 non-null      float64\n",
      " 6   颜色         0 non-null      float64\n",
      " 7   单位         0 non-null      float64\n",
      " 8   数据入库时间     36661 non-null  object \n",
      " 9   数据发布时间     36661 non-null  object \n",
      "dtypes: float64(4), object(6)\n",
      "memory usage: 2.8+ MB\n"
     ]
    }
   ],
   "source": [
    "df2.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "f1b02acd",
   "metadata": {},
   "outputs": [],
   "source": [
    "region_code_mapping = {  \n",
    "    '北京': 1, '天津': 1, '河北': 1, '辽宁': 1, '上海': 1, '江苏': 1, '浙江': 1, '福建': 1, '山东': 1, '广东': 1,  # 东部  \n",
    "    '山西': 2, '吉林': 2, '黑龙江': 2, '安徽': 2, '江西': 2, '河南': 2, '湖北': 2, '湖南': 2,  # 中部  \n",
    "    '内蒙古': 3, '广西': 3, '重庆': 3, '四川': 3, '贵州': 3, '云南': 3, '西藏': 3, '陕西': 3, '甘肃': 3, '青海': 3, '宁夏': 3, '新疆': 3  # 西部  \n",
    "}  \n",
    "  \n",
    "df2['区域'] = df2['农产品市场所在省份'].map(region_code_mapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d243e27a",
   "metadata": {},
   "outputs": [],
   "source": [
    "one_hot_encoded_df2 = pd.get_dummies(df2[['农产品市场所在省份', '农产品类别']])  \n",
    "  # 使用 pd.merge 将独热编码后的 DataFrame 与 df1 合并，基于索引  \n",
    "df2 = pd.merge(one_hot_encoded_df2, df2, left_index=True, right_index=True)  \n",
    "df2 = df2.drop(['农产品市场所在省份', '农产品类别'], axis=1)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "2dfda15d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#市场名称映射值\n",
    "import pandas as pd  \n",
    "from sklearn.preprocessing import LabelEncoder  \n",
    "\n",
    "# 初始化一个 LabelEncoder  \n",
    "label_encoder = LabelEncoder()  \n",
    "   \n",
    "unique_colors = df2['市场名称映射值'].unique()  \n",
    "color_to_index = dict(zip(unique_colors, label_encoder.fit_transform(unique_colors)))  \n",
    "index_to_color = dict(zip(label_encoder.transform(unique_colors), unique_colors))  \n",
    "  \n",
    "# 返回原列，并填充编码  \n",
    "df2['市场名称映射值'] = df2['市场名称映射值'].map(color_to_index) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "8c400262",
   "metadata": {},
   "outputs": [],
   "source": [
    "#农产品名称映射值\n",
    "import pandas as pd  \n",
    "from sklearn.preprocessing import LabelEncoder  \n",
    "\n",
    "# 初始化一个 LabelEncoder  \n",
    "label_encoder = LabelEncoder()  \n",
    "  \n",
    "unique_colors = df2['农产品名称映射值'].unique()  \n",
    "color_to_index = dict(zip(unique_colors, label_encoder.fit_transform(unique_colors)))  \n",
    "index_to_color = dict(zip(label_encoder.transform(unique_colors), unique_colors))  \n",
    "  \n",
    "# 返回原列，并填充编码  \n",
    "df2['农产品名称映射值'] = df2['农产品名称映射值'].map(color_to_index) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "570faf52",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 转换日期列\n",
    "df2['数据入库时间'] = pd.to_datetime(df2['数据入库时间'], errors='coerce')\n",
    "df2['数据发布时间'] = pd.to_datetime(df2['数据发布时间'], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "88d0eea2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#对日期进行处理\n",
    "df2['数据入库年份']= df2['数据入库时间'].dt.year\n",
    "df2['数据入库月份']= df2['数据入库时间'].dt.month\n",
    "df2['数据入库日份']= df2['数据入库时间'].dt.day\n",
    "\n",
    "df2['数据发布年份']= df2['数据发布时间'].dt.year\n",
    "df2['数据发布月份']= df2['数据发布时间'].dt.month\n",
    "df2['数据发布日份']= df2['数据发布时间'].dt.day\n",
    "\n",
    "df2 = df2.drop(['数据入库时间','数据发布时间'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4b89217a",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip install torch"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.19"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
